Deep Learning Tutorial | Deep Learning TensorFlow | Deep Learning With Neural Networks | Simplilearn

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[@aejazvelani4213]

Hi i'm a part of simplilearn community could you please share the data set with me as i'm learning from here and also links to the previous deep learning with tensorflow classes google drive links for practice on my simplilearn registered email address [e-mail] and i've an exisitng ticket in my account ticket number "00557207" for which i was waiting for response on please do check with learning consultant to get it resolved.

[@SimplilearnOfficial]

Sorry for the delay. We have sent the requested dataset to your mail ID. Do subscribe to our channel and stay tuned for more.

[@SimplilearnOfficial]

Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

[@merrimac1]

Very good tutorial. Do you have a link to the code that you went though in the video? Thanks.

[@SimplilearnOfficial]

Hello Xinwei, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.

[@CreamyIceluver]

Great video, but several of the TF modules are now deprecated and not possible to code along at home. Would love to see updated version of this tutorial

[@SimplilearnOfficial]

Noted. We will definitely look into your suggestions. Do subscribe and stay tuned for updates on our channel. Cheers :)

[@rajasthawal7422]

Mohan sir, grate work, beautifull explantion on deep learning and its implementation using tensorflow. Being a newbie I find your vedios tutorial to the best so far sir. Your method of explation simplifed a lots of concepts and implementation which previously I found to be confusing. This vedio has boosted my moral, provided valuable insight and the right path to boost of my project sir.Thanking you and Simplilearn

[@SimplilearnOfficial]

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. Do subscribe to our channel and get our new video updates directly into your email. If you have any questions related to these videos, you can post in the comments section, we will clear your queries/doubts.

[@induchandran8207]

Really helpful 👍👍

[@SimplilearnOfficial]

Glad it helped

[@swm7f137]

can i apply this to predict the customer churn please i need answer... it is an awesome why of explanation thank you so much

[@asmajabeen7890]

great deep learning tutorial i need its notes for delivered to other students

[@SimplilearnOfficial]

Hello Asma, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.

[@beautifulanimals209]

sir can you make videos on these topics with practical ??? Building pipelines for deep learning that can handle significant data Executing experiments for hypothesis testing Constantly optimizing

[@SimplilearnOfficial]

Hey Shamoon, thank you for watching our video. We will definitely look into your suggestions and inform our team. Do subscribe and stay tuned for updates on our channel. Cheers :)

[@vinayraog]

Great tutorial for the beginners on neural networks

[@SimplilearnOfficial]

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

[@blakef.8566]

29:58 shouldn't C=(1/2)(Yhat - Y)^2 instead of C=(1/2)(Y-Y)^2?

[@SimplilearnOfficial]

"Hi Blake, The cost function is indeed 1/2(y_cap-y)^2"

[@amazingworld7943]

Thank you for great tutorials

[@SimplilearnOfficial]

Hey Muhamed, 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 :)

[@sagarbhamare5548]

Great Tutorial

[@SimplilearnOfficial]

Hi Sagar, we appreciate the kind comment! enjoy!

[@aakashnishad7048]

Thank you sir!

[@SimplilearnOfficial]

Hey Aakash, we're glad you enjoyed this video! If you want to learn more, you can check out this playlist: kzbin.info/www/bejne/bH6Yh4uBgctnepY And don't forget to like, share and subscribe to our channel! :)

[@AkashVerma-mg7ys]

How we can predict the digit given by the user, I mean to say that what is the code for predicting any random digit?

[@SimplilearnOfficial]

Hi Akash, the video explicitly shows how to predict a digit given by the user. For more reference on this, please click on the following links:medium.com/tebs-lab/how-to-classify-mnist-digits-with-different-neural-network-architectures-39c75a0f03e3 towardsdatascience.com/image-classification-in-10-minutes-with-mnist-dataset-54c35b77a38d

[@ranasadeghichegani4576]

Hi, thank you for your tutorial. In the Demo part, I did not understant the cross Entropy section. Can you provide more detail on the function softmax_cross_entropy_with_logits and logist variable. and for the y variable, if there are lest say 10 layers, I should create the graph from all 10 to make t right? and what does learning_Rate = 0.5 mean? how do you select it? why it is not 0.6 or 0.7?

[@SimplilearnOfficial]

Hi Rana Sadeghi, Softmax cross entropy with logits measures the probability error in discrete classification tasks in which the classes are mutually exclusive. Example: In MNIST data set, each digit image is labeled with one and only one label. Deciding a value for the learning rate varies from model to model. Choosing a learning rate depends on how faster we want to reduce the cost function. A typical choice of momentum is between 0.5 to 0.9. If the learning rate is too low, it takes a lot of time to train the model and if it is too high, the network fails to converge. Hope this answered your question. Please let us know if in case you have any other questions. Thanks for watching the video. Cheers!

[@vivianvignesh214]

Very informative. excellent.

[@SimplilearnOfficial]

Hey Vivian, 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 :)

[@gagananand4603]

Thanks for excellent tutorial .please share training data set with me .

[@SimplilearnOfficial]

Hey Gagan, 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 :)

[@vidusha123]

Hi, great video. Thanks a lot. But how do you use an handwritten image of yours to check whether the ai works?

[@SimplilearnOfficial]

This will need a lot of handwritten images of yours. You can use those images and implement CNN of predicting the images. One thing to keep in mind is the size of the images should be the same for all and needs to be in KBS. Hope that helps!

[@vidusha123]

Simplilearn hi thanks for replying. I meant once after training as you explained above, how do I use a sample image to predict the results. What line,s of code will I have to use?

[@vidusha123]

Simplilearn in other words. How do I use my fully trained AI

[@SimplilearnOfficial]

Could you please elaborate your question. AI has a vast number of applications (Pharmaceutical, Robotics, E-Commerce, etc). Please let us know the category in which your trained model comes in.

[@amkhatri28]

First of was very good, but the second half where the code and demo part started, there was too much to capture. I think too much is covered in too little time. Can you provide some resources to learn all the functions and tensorflow coding in a step by step way.

[@SimplilearnOfficial]

Hi Amit, we are glad that you found our content helpful. Please check out this link to know all the functions of Tensorflow from scratch: www.simplilearn.com/deep-learning-course-with-tensorflow-training

[@khueha5566]

Great lesson!

[@SimplilearnOfficial]

Hi, We appreciate the kind comment! Check out this playlist to dive deeper into Deep Learning: kzbin.info/www/bejne/fJPbhYmIm7Z5q6s. Cheers

[@nacerzarguit8970]

Great tutorial. But unfortunately I found that your courses are very expensive. Students can not pay 400 dollars for one course.

[@SimplilearnOfficial]

Hi Nacer, thanks for watching our tutorial. We have EMI options for all the courses as well. You can visit our website www.simplilearn.com and contact our team using the chat box and they will let you know about the other payment options. Hope that helps!

[@marksachin2946]

Content is informational.. But i am sorry to say that your voice is not good for listening..your voice should be clear and crisp so that we can grasp the points easily..

[@SimplilearnOfficial]

Hi Mark, I am glad that you found our content informational. I appreciate you for bringing this to our attention. I reported this right away to the relevant department. If you are interested to take up a more structured and formal course, you can find the details here: www.simplilearn.com/deep-learning-course-with-tensorflow-training

[@SimplilearnOfficial]

Hi Jakir, thanks for checking out our tutorial and for sharing your honest feedback. We are really glad that we have helped. Do continue supporting us by subscribing to our channel to stay posted on upcoming tutorials. Happy learning!

[@ogsconnect1312]

Hi Mark, unfortunately I find the voice very perfect for me! May be you could turn on closed captioning for you to follow. I wouldn't want the tutor to start retraining his voice!

[@KazzArie]

perhaps you'd like to contribute via patreon or paypal so this fabulous content creator can get a microphone that suits your desire. Great info for free? I can overlook audio that's not some FLAC file. But that's just me.

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Thanks for the love and support!