Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work

@SimplilearnOfficial Жыл бұрын

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@ssshraddhasalvi 4 жыл бұрын

Very informative and explained in just 5 mins - Answer is B for Quiz as the "Error is always calculated at output layer and then weight are adjusted to provide accurate results next time as application trains by itself"

@SimplilearnOfficial 4 жыл бұрын

Hi Shraddha, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@refaelbuchris3654 3 жыл бұрын

You explained it better than a course in my language which I paid for😂😂

@SimplilearnOfficial 3 жыл бұрын

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

@taexrio 2 жыл бұрын

why is this true😂

@jimiraheem2061 2 жыл бұрын

Use google translate

@joneskwameosei2411 Жыл бұрын

A 2+ hours lecture simplified in just 5 mins. This is a great resource. I will make use of it in my marching learning assignment

@SimplilearnOfficial Жыл бұрын

Hey, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)

@bealynor 11 ай бұрын

It's difficult to make a video but thank you so much for making this and for clearly explaining it for us to understand! :)

@cagedbird2010 3 жыл бұрын

Awesome video, it explains very clearly and in a simple way how the NNs work for the beginners. Thank you!

@SimplilearnOfficial 3 жыл бұрын

Glad it was helpful!

@tigerking4254 2 жыл бұрын

Just a bunch of if/else nothing serious

@elp09bm1 2 жыл бұрын

Thanks for the excellent explanation in a visual form. Since I teach Machine Learning, Kindly let me know how you create these animated videos. I think this may help my students to understand the concept in easy manner.

@SimplilearnOfficial 2 жыл бұрын

This is a scribe video. You can make use of this software to create the videos www.videoscribe.co/en"

@victoriabressan4557 4 жыл бұрын

Great video!!!! it was very well explained and the voice and tone is clear. THANK YOU!!!

@SimplilearnOfficial 4 жыл бұрын

Glad it was helpful!

@meghabasvaraju7188 3 жыл бұрын

you deserve many millions of followers, short and sweet explanation well enough to understand the concept

@SimplilearnOfficial 3 жыл бұрын

Thank you for your kind word and for watching!

@abdulkaderv5568 2 жыл бұрын

Nice video sis/bro Also can a neural network can be used to find a best combination of parameters from multiple parameters Like if parameters (1,2,3,4,5,6,7,8) are fed as input , can it identify the best combination( pair of parameters) like (1&2, 1&3, 1&7, 2&8, 3&5, 7&1) for efficient performance of a system I was given this project for fuel cell performance estimation by inputing its operating and design parameters and finding the best combination which influences the performance most Can it be done in MATLAB? Pls show some light

@ramalingeswararaobhavaraju5813 4 жыл бұрын

Good evening sir, Thanks to Mr.Simplilearn for your teachings on neural network.

@SimplilearnOfficial 4 жыл бұрын

We are so grateful for your kind words. Also, subscribe to our channel and stay tuned for more videos. Cheers!

@jagadambika1590 3 жыл бұрын

The way u explained is so neat and clean, no loopholes. Thankssss

@SimplilearnOfficial 3 жыл бұрын

You're welcome! Thank you for watching!

@aakashmaurya6710 4 жыл бұрын

"Error is calculated at each layer of the neural network" does not hold true.

@SimplilearnOfficial 3 жыл бұрын

The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@ganesh_b_sangale 4 жыл бұрын

Really liked the way you explained this topic.

@SimplilearnOfficial 4 жыл бұрын

Hey Ganesh, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)

@jennievlogs9553 2 жыл бұрын

Very informative and interesting video, made it really easy for me to learn neural networks. Thank you The correct answer is B- Error is always calculated at the output layer.

@SimplilearnOfficial 2 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@suhasks4987 Жыл бұрын

Very informative, this explanation is really easily understandable - Answer for the quiz question is "B" (Because error is calculated at the output layer to adjust the weight to get accurate result, not in every layer).

@SimplilearnOfficial Жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@darksoul8310 2 жыл бұрын

Tomorrow Is my ai exam I didn't understood anything in class or by books But this video got me whole concept explain in hardly five minutes Thank you so much 😊 It saved my hours of useless attempts of my own

@SimplilearnOfficial 2 жыл бұрын

All the best

@joshuamarlaves3211 4 жыл бұрын

The answer is B. since the error is validated and cross-checked in the output layer after a prediction has been determined and not in every layer. I just subscribed to your channel because of this video and the blockchain one. I’m pretty sure I’ll dive deeper in to your channel since you make complex concepts seem easy. Thank you SimpliLearn!! Sending love from the Philippines!

@SimplilearnOfficial 4 жыл бұрын

Hi Joshua, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your constant love and support. You can dive deeper to become an AI engineer: www.simplilearn.com/artificial-intelligence-masters-program-training-course. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@shwetanarode3266 4 жыл бұрын

Answer is B: Error is calculated at each layer of neural network

@SimplilearnOfficial 4 жыл бұрын

Hi Shweta, thanks for your reply! We will give out the answer to the quiz coming Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Hi Shweta, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@markdoner4502 Жыл бұрын

Great video man, in 5 minutes you just explained everything in such a simple way

@SimplilearnOfficial Жыл бұрын

We're thrilled to have been a part of your learning experience, and we hope that you feel confident and prepared to take on new challenges in your field. If you're interested in further expanding your knowledge, check out our course offerings in the description box.

@insideoutwellbeing6728 4 жыл бұрын

Thanks for your Video The Answer is “B/ error is calculated at each layer” It’s not calculate the error

@SimplilearnOfficial 4 жыл бұрын

"Hello, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@martinmiano8220 3 жыл бұрын

A is true as the activation function uses the threshold to determine whether is the neuron should be activated and in turn propagate data through the network. B is false as error is only calculated when the neural network makes a prediction, thus error is only calculated after the output layer. C is true as both forward and backward propagation are iterative processes during the training process. D is true as most data is processed at the hidden layers(usually one or more), most classification of the features takes place here. Answer is B

@SimplilearnOfficial 3 жыл бұрын

You're right! The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The back propagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. The competition period is now over. Thank you for watching and participating!

@vamosabv 2 жыл бұрын

Really good video with great graphics, narration and animation. Thanks!

@SimplilearnOfficial 2 жыл бұрын

Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )

@Dave-rx8xt 4 жыл бұрын

Best Explanation.Thanks For Such Valuable Information.Keep It Up.

@SimplilearnOfficial 4 жыл бұрын

Hey, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)

@ihatesnakeu574 2 жыл бұрын

I'm in 9th Grade its very useful for me very well explained sir And the Answer is OPTION B Greetings from India !

@SimplilearnOfficial 2 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@ihatesnakeu574 2 жыл бұрын

@@SimplilearnOfficial Thx !

@SimplilearnOfficial 4 жыл бұрын

Hi everyone, exactly a week ago, we conducted a quiz contest in this video. The answer to the quiz is given below: The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. We are pleased to announce the 3 lucky winners who got the right answer for our quiz: 1. Nayan Agarwal 2. Sahitya Reddy 3. Luis Mo Congratulations to all the winners! They've won an Amazon voucher worth INR 500 / $10.

@SimplilearnOfficial 4 жыл бұрын

Hi Jorge, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@TeeOba 4 жыл бұрын

B

@SimplilearnOfficial 4 жыл бұрын

Hi, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@subhadipml 4 жыл бұрын

The Answer is :- B

@SimplilearnOfficial 4 жыл бұрын

Hi Subhadip, thanks for your reply! We will give out the answer to the quiz coming Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@jordihoven2349 4 жыл бұрын

Insightfull video! Thankyou

@SimplilearnOfficial 4 жыл бұрын

Hey Jordi, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)

@kaviyavelmurugan4903 2 жыл бұрын

All your videos are Awesome, you made my college exam's easier, these videos give clear cut meaning and understanding in very short time, So please do more videos

@SimplilearnOfficial 2 жыл бұрын

WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!

@alwalidy3 4 жыл бұрын

I have a question, How the weights are calculated? Also, how to know the value if bias for each neuron in the hidden layer? thank you.

@edu1113 4 жыл бұрын

Im no expert but let me try give it a shot.. initially, weights and biases are set at random..in python programming, u can use numpy.random to do this.. as your neural net process the inputs and give and output when training it, it will check how far is it from what the output supposed to be (loss value).. based on this, your neural net will adjust the weights and biases of each neurons in the hidden layer until the loss value nears zero or becomes static or the iterations assigned is completed.. depending on how well your model perform, u may have to manually changes some parameters such as number of neurons, learning rate, number of hidden layers, activation function etc.. im not sure if u can print the value of the final weight and biases of the neuron tho.. hope that helps

@SimplilearnOfficial 4 жыл бұрын

@@edu1113 Thanks for your valuable input!

@SimplilearnOfficial 4 жыл бұрын

"Hi Faris, Here are two blogs that will help you understand how weights and biases work in a neural network: hackernoon.com/everything-you-need-to-know-about-neural-networks-8988c3ee4491 medium.com/coinmonks/the-mathematics-of-neural-network-60a112dd3e05"

@vkhan5431 2 жыл бұрын

@@SimplilearnOfficial thank you for the video, the question and your response to the question. Much appreciated!

@georgeshaw1607 4 жыл бұрын

The answer to the quiz question is B. Thanks for this straightforward explanation of how neural networks operate.

@SimplilearnOfficial 4 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@zoya5093 4 жыл бұрын

Thank you so much Sir for your video... I think I can write this answer in my tomorrow paper... And Answer Is B.

@SimplilearnOfficial 4 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@amruthkumar6420 3 жыл бұрын

You r absolutely marvelous Sir!!! Good explanation 👍👍

@SimplilearnOfficial 3 жыл бұрын

Thanks a ton!

@Rishi-nv7bp 4 жыл бұрын

B: Error is calculated at each layer of neural network

@SimplilearnOfficial 4 жыл бұрын

Hi Hrushikesh, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@user-dr9gs6wh1k 3 жыл бұрын

Crazy to think that we’re a natural neural network thats learning how to make artificial neural networks.

@SimplilearnOfficial 2 жыл бұрын

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

@Chibymoh 3 жыл бұрын

Definitely B !! Thanks for the Video!! Liked, shared and now following!

@SimplilearnOfficial 3 жыл бұрын

The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@QuaternionPhysics1 2 жыл бұрын

Amazing video explained in 5 minutes! Love it

@SimplilearnOfficial 2 жыл бұрын

Glad you liked it!

@Djandroide97 4 жыл бұрын

The answer is B because the error is calculated at the output layer after the output values and expected values are compared.

@SimplilearnOfficial 4 жыл бұрын

Hi Luis, thanks for your reply! We will give out the answer to the quiz coming Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Congratulations, you got the correct answer and have been selected as one of the 3 lucky winners of our contest. Please reply with your email ID to this comment to receive your Amazon gift voucher worth Rs500/ $10. The answer to the question is given below: The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model.The back propagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@Djandroide97 4 жыл бұрын

@@SimplilearnOfficial What a great new, it's awesome that you reward your followers, thank you very much.

@Djandroide97 4 жыл бұрын

@@SimplilearnOfficial djandroide97

@SimplilearnOfficial 4 жыл бұрын

You are very welcome. Do show your love by subscribing our channel using this link: kzbin.info and don't forget to hit the like button as well. Cheers!

@jakec5618 Жыл бұрын

Do one for how chatgpt works.

@1Manqu Жыл бұрын

I think that is how chatGPT works

@AirborneLRRP 2 жыл бұрын

I don't understand what the values of x_i would be. Is it an intensity value for pixel brightness and so you're trying to detect if some pixel is bright or not? then couldn't you just investigate the edges of the image (i.e. where there's a gradient between pixels)? I don't understand.

@tomaspedrosa9014 3 жыл бұрын

Excellent explanation!! Thanks a lot! :D

@SimplilearnOfficial 3 жыл бұрын

Glad it was helpful!

@GauravSingh-ku5xy 3 жыл бұрын

Damn, the quality of explanation is awesome.

@SimplilearnOfficial 3 жыл бұрын

We are so grateful for your kind words. Also, subscribe to our channel and stay tuned for more videos. Cheers!

@jackainsleybrincat1960 3 жыл бұрын

Great video! Two questions I have... Q1- is there an error in the formula when the weight etc is being discussed? The formula reads "(X1 * 0.8 + X3 * 0.2) + B1" should it not be (X1 * 0.8 + X2 * 0.2) + B1? and Q2 - does the neural network add each of the inputs in one formula? I.e. "(X1 * 0.8 + X3 * 0.2 + X3 * 0.1...) + B1 + B2 + B3..." and so on? Thanks!

@SimplilearnOfficial 3 жыл бұрын

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

@vinodsingh2727 2 жыл бұрын

@@SimplilearnOfficial bot ans...hahahha

@JuliusSDeLaCruz 4 жыл бұрын

B. Thank you for the great explanation.

@SimplilearnOfficial 4 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@sahith2547 4 жыл бұрын

Super Explanation.....🥳🥳🎊🎉🔥🔥🔥🔥👏👏👏👏👏Me expecting more and more animated videos....like this ......

@SimplilearnOfficial 4 жыл бұрын

WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!

@longliangqu 4 жыл бұрын

which software is used to make such a interactive animation? thank you.

@SimplilearnOfficial 4 жыл бұрын

Hi Long, we use Scribe and Aftereffects to make these animations. Thanks.

@SimplilearnOfficial 4 жыл бұрын

Hi Long, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@nayanagarwal3260 4 жыл бұрын

Hii Long, have you got the reward from simplilearn. Bcz i was also selected for the prize but have not got that yet.

@SimplilearnOfficial 4 жыл бұрын

Hi Nayan, we are sorry about that and we didn't get any response from you either. Please reply with your email ID to this comment to receive your Amazon gift voucher worth Rs 500/ $10.

@tankuharshida2855 2 жыл бұрын

You yes you who thought this video thanks a lot god bless you 😁

@SimplilearnOfficial 2 жыл бұрын

You're welcome 😊

@butterfly_art2011 3 жыл бұрын

Thanks for the explanation 👍😊

@SimplilearnOfficial 3 жыл бұрын

Happy to help!

@fadhilikisusange8650 5 ай бұрын

Thanks for making this video. I don’t remember what professor was teaching in my class😀

@abdullahihsan1387 3 жыл бұрын

So this is an old video so I doubt I'll get a reply, but could someone please explain why the weights vary and how the value of the weigh s are assigned? Thank you

@timgibson3808 3 жыл бұрын

abdullah ihsan the weight is essentially the probability each neuron will give the network that the pattern is what it is looking for and the weight is measured out of 1 So in this case if a square is input, and if neuron x1 is absolutely sure that the pixel it is looking at belongs to a square, it would give it a weighting of 1. If it is somewhat sure for example it would give it a weighting of 0.5. Over time, the better the neurons and network layers get and the more training the network gets to identify patterns correctly from input images/data, the more accurate the output results

@SimplilearnOfficial 3 жыл бұрын

"Hi Abdullah, Here is an article that will help you understand how weights are assigned to a neural network. towardsdatascience.com/weight-initialization-techniques-in-neural-networks-26c649eb3b78"

@NeuralDiaries Жыл бұрын

It's funny that it's been three years and now I'm watching this video myself

@SimplilearnOfficial Жыл бұрын

Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )

@sangitagoyal6832 7 ай бұрын

Better than an hour lecture!

@Patrick-be7gb 3 жыл бұрын

Great job, really nice explanation.

@SimplilearnOfficial 3 жыл бұрын

Glad it was helpful! Thank you for watching!

@priyamadhan5414 3 жыл бұрын

The Answer is “B/ error is calculated at each layer”

@SimplilearnOfficial 3 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@abdelrahmanmagdy298 3 жыл бұрын

B, I Loveee thiss, thanks for explaining so nicelyyy .. subscribed!!

@SimplilearnOfficial 3 жыл бұрын

Thanks for subbing!

@jenijacob9214 4 жыл бұрын

while training the dataset, how the system knows that the actual output is circle. we are giving all the 3 shapes in the output layer.what is meant by weight?

@SimplilearnOfficial 4 жыл бұрын

The input data would already have labels for each of the shapes. The network trains on this data to learn the patterns in an image. Weights are hyper-parmaters used in a neural network that are used to shape the output of a network. You can change the weights as and when needed using backpropagation.

@satyajitdas2780 4 жыл бұрын

B as the error is calculated at the end of the NN, as error is original value - predicted value.

@SimplilearnOfficial 4 жыл бұрын

Hi Satyajit, thanks for your reply! We will give out the answer to the quiz coming Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@nikhilbahadure4972 4 жыл бұрын

its absolutely B....

@SimplilearnOfficial 4 жыл бұрын

Hi Nikhil, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@nourdey3007 Жыл бұрын

I am a new subscriber and I think that is an amazing video... Thank you so much

@SimplilearnOfficial Жыл бұрын

Thanks for subbing!

@anilajax 8 ай бұрын

I understand that a layer is a program written in say python to do the calculations. But what exactly a neuron is, in terms of programming?

@nayanagarwal3260 4 жыл бұрын

The Answer to the question is : B

@SimplilearnOfficial 4 жыл бұрын

Hi Nayan, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Congratulations, you got the correct answer and have been selected as one of the 3 lucky winners of our contest. Please reply with your email ID to this comment to receive your Amazon gift voucher worth Rs 500/ $10. The answer to the question is given below: The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model.The back propagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@nayanagarwal1977 3 жыл бұрын

@@SimplilearnOfficial pubgopen@gmail.com

@sanasheik6370 4 жыл бұрын

Ans is b

@SimplilearnOfficial 4 жыл бұрын

Hi, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Hi Sana, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@thijsbov 4 жыл бұрын

Hi! Can I ask you a question about a neural network I made in excel? There's seems to be an issue when i try to learn it with multiple features instead of a single one.

@SimplilearnOfficial 3 жыл бұрын

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

@saniaparveen9428 2 жыл бұрын

Thanks a lot for this explaination.This is really awesome...

@SimplilearnOfficial 2 жыл бұрын

You are most welcome

@tharunv1885 4 жыл бұрын

Ans is B

@SimplilearnOfficial 4 жыл бұрын

Hi Tharun, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Hi Tharun, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@tharunv1885 4 жыл бұрын

How can i claim this winning voucher?? Thank u for selecting me as one of three winners

@SimplilearnOfficial 4 жыл бұрын

The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.

@sandeepdayananda9846 4 жыл бұрын

Answer is D option.

@hellblazerjj 4 жыл бұрын

Lol. Really dude?

@SimplilearnOfficial 4 жыл бұрын

Hi Sandeep, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Hi Sandeep, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@ukachionyema5861 3 жыл бұрын

Good one. A lovely real life application of Math.

@SimplilearnOfficial 3 жыл бұрын

Glad you liked it!

@nesanforever7155 Жыл бұрын

B is the answer after the forward propagation we are suppose check the error by the submisson of 1/2 (taget ouput - actual ouput ) ^2 .

@SimplilearnOfficial Жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@sameed-siddiqui 4 жыл бұрын

Option (B)

@SimplilearnOfficial 4 жыл бұрын

Hi Sameed, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Hi Sameed, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@sahityareddy6463 4 жыл бұрын

Option B

@SimplilearnOfficial 4 жыл бұрын

Hi Sahitya, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Congratulations, you got the correct answer and have been selected as one of the 3 lucky winners of our contest. Please reply with your email ID to this comment to receive your Amazon gift voucher worth Rs 500/ $10. The answer to the question is given below: The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@hyperrelic6706 3 жыл бұрын

You explain concepts better than experts like Geofrey Hinton

@SimplilearnOfficial 3 жыл бұрын

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

@dev77cmd 11 ай бұрын

Thanks a lot, clear explanation!!

@SimplilearnOfficial 11 ай бұрын

We're so glad that you enjoyed your time learning with us! If you're interested in continuing your education and developing new skills, take a look at our course offerings in the description box. We're confident that you'll find something that piques your interest!

@dhanoida 4 жыл бұрын

Answer of the quiz is - B

@SimplilearnOfficial 4 жыл бұрын

Hi, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@avijeetbiswal8421 4 жыл бұрын

C is correct

@SimplilearnOfficial 4 жыл бұрын

Hi, thanks for your reply! We will give out the answer to the quiz next Wednesday, 26th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!

@SimplilearnOfficial 4 жыл бұрын

Hi Avijeet, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@karabiguharay1648 4 жыл бұрын

@@SimplilearnOfficial ANSWER IS B

@SimplilearnOfficial 4 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@sharafabacery4279 4 жыл бұрын

the tut is perfect ,where i can get link for this basic example ?

@SimplilearnOfficial 4 жыл бұрын

Thanks a lot. For example and tutorial, check this video: kzbin.info/www/bejne/r6S5gJt4fN6ertU.

@safirmohammadshaikh6052 4 жыл бұрын

Thanks for the Video! The answer is B.

@SimplilearnOfficial 4 жыл бұрын

"Hi Safir, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@HARSHKUMAR-ow4ho Жыл бұрын

The answer is B because error gets calculated only after comparing the predicted output with the actual output in the training process.

@SimplilearnOfficial Жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@e.pannellgene9022 4 жыл бұрын

Thanks for the Video! The answer is B. B B B! btw, good video!

@SimplilearnOfficial 4 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@user-by8lo1my7k Ай бұрын

amazing video thanks !

@yashwanthk589 4 жыл бұрын

It's option B.. Error is always calculated at the output..when will you list this type of quiz again?

@SimplilearnOfficial 4 жыл бұрын

Hi Yashwanth, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network. This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.

@conkodo 2 ай бұрын

Somehow ended up here thanks to one of my Neuroscience classes... cool

@salehmustafa8216 2 жыл бұрын

Beautiful explanation 👍🏾👍🏾👍🏾

@SimplilearnOfficial 2 жыл бұрын

Glad it was helpful!

@salehmustafa8216 2 жыл бұрын

@@SimplilearnOfficial indeed👍🏾

@raghavaggarwal7120 3 жыл бұрын

awesome explainantion great work guys.. hey can you help i have a presentation on neural networks by any chance can i get these animations for my presentation

@SimplilearnOfficial 3 жыл бұрын

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

@tejasdwivedi8262 2 жыл бұрын

Answer is B. Error is calculated at each layer of the neural network. This statement is wrong since errors could only be rectified using back-propagation that occurs during the training of the neural network. Thank You Simplilearn.

@SimplilearnOfficial 2 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@MsIjazahmad 2 жыл бұрын

nice video ,,,,please upload video of PSO-CNN Hybridization

@SimplilearnOfficial 2 жыл бұрын

We are glad you found our video helpful. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!

@mitra9234 Жыл бұрын

Dude your video was great 👍

@SimplilearnOfficial Жыл бұрын

Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.

@ManishKumar-ts7yh 3 жыл бұрын

very good explanation i liked it very much but how they are calculated plz reply

@SimplilearnOfficial 3 жыл бұрын

Hi Manish, For a detailed understanding of how neural networks work, please check this link: kzbin.info/www/bejne/pZOUqoZvnJKNmdU Thank you for watching!

@ruicao785 3 жыл бұрын

so how to determine the weight of each neurons? and why x1 and x3 are connected to B1?

@SimplilearnOfficial 3 жыл бұрын

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

@fypteam9732 2 жыл бұрын

none could explain it any better!

@SimplilearnOfficial 2 жыл бұрын

Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )

@sundarikameswari3533 Жыл бұрын

correct option is B, as an erroe is calculated at the end in the output layer and if its layer the information is sent and processed again

@SimplilearnOfficial Жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@richardofoz2167 Жыл бұрын

Great explanation -- if you already understand the subject. Otherwise, not so much...

@SimplilearnOfficial Жыл бұрын

Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.

@TavseefMairaj 3 жыл бұрын

Thank you!

@SimplilearnOfficial 3 жыл бұрын

You're welcome! Glad you enjoyed it!

@linamohammed6657 4 жыл бұрын

Firstly thanks a lot for you vedio.. i really enjoy it and also the discussion is very clear..then,I guess the correct answer must be (B) that the erroe should be calculated for the output only .. hope you will reply to us and introduce the correct answer because also you said most of data processing happen at hidden layer put i think all of it must happen their and if their is any process to be happen at input is may be to change data to digital or process of taking data from source and convert it to digital by specific way and for output layer only the error calculation will be the process take place and may be to have specific response or monitoring for the data by spacific way .. is what i said that you mean it when you said most of process happen at hidden layer or am i wrong?.. i will be thankfull if i get your feedback ^_^

@SimplilearnOfficial 4 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@linamohammed6657 4 жыл бұрын

@@SimplilearnOfficial thanks a lot for your answer .. put i want to ask also is all of that .. i mean the weighted sum which is added to the bias happen at input layer .. i thought firstly that is happen also at the hidden layer with the learning and feed back which is repeated till get good accuracy at case of face recognetion for example.

@SimplilearnOfficial 4 жыл бұрын

Hi Lina Bias is a hyper-parameter that is added to all the layers to improve the prediction output.

@linamohammed6657 4 жыл бұрын

@@SimplilearnOfficial thanks.. In the fact i couldn't wait for your answer.. put my question was about the layer of input if there is process happen to it and i found that the neuron at the input contain weight for each one of input at the synabs connected to it put the process could be happen directly at output if it is linear operation put for non-linear case that i should have the hadden layer.. i read and see many vedios and i found the answer.. thanks a lot for your support and attention

@SimplilearnOfficial 4 жыл бұрын

You are welcome! Do show your love by subscribing our channel using this link: kzbin.info and don't forget to hit the like button as well. Cheers!

@ritompaul3054 4 жыл бұрын

B is the correct option for the quiz answer. Error is calculated every time after the output processed in each propagation.

@SimplilearnOfficial 4 жыл бұрын

"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "

@prasadkute4703 2 жыл бұрын

Nice explanation, good!!

@SimplilearnOfficial 2 жыл бұрын

Glad you liked it!

@kiranbaiju7752 Жыл бұрын

You are Amazing sir

@SimplilearnOfficial Жыл бұрын

Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.

@zac_vaughn 2 жыл бұрын

Their product is sent, not their sum. Important distinction because neural networks are multiplied by the weight, not added.

@SimplilearnOfficial 2 жыл бұрын

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

@himlayafalak7620 2 жыл бұрын

Thanks a lot for this informative video u are great

@SimplilearnOfficial 2 жыл бұрын

Our pleasure

@MajidAli-wx3px 2 жыл бұрын

Amazing Very nice Explanation

@SimplilearnOfficial 2 жыл бұрын

Thanks and welcome

@kaulickmitra6898 10 ай бұрын

Nice Explanation

@SimplilearnOfficial 9 ай бұрын

We're so glad that you enjoyed your time learning with us! If you're interested in continuing your education and developing new skills, take a look at our course offerings in the description box. We're confident that you'll find something that piques your interest!