What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | Edureka

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This Edureka "What is Deep Learning" video (Blog: goo.gl/4zxMfU) will help you to understand about the relationship between Deep Learning, Machine Learning and Artificial Intelligence and how Deep Learning came into the picture. This tutorial will be discussing about Artificial Intelligence, Machine Learning and its limitations, how Deep Learning overcame Machine Learning limitations and different real-life applications of Deep Learning.
Below are the topics covered in this tutorial:
1. What Is Artificial Intelligence?
2. What Is Machine Learning?
3. Limitations Of Machine Learning
4. Deep Learning To The Rescue
5. What Is Deep Learning?
6. Deep Learning Applications
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Check our complete Deep Learning With TensorFlow playlist here: goo.gl/cck4hE
PG in Artificial Intelligence and Machine Learning with NIT Warangal : www.edureka.co/post-graduate/...
Post Graduate Certification in Data Science with IIT Guwahati - www.edureka.co/post-graduate/...
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)
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How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
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Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
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Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.
For more information, please write back to us at [e-mail] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
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[@edurekaIN]

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka AI & Deep Learning Course curriculum, Visit our Website: bit.ly/37q65Oc

[@menakakamath6642]

Edureka is the best place to learn new technologies! Love it. Amazing efforts by all instructors to help learners. Awesome channel!

[@edurekaIN]

Hey Menaka, thanks for the wonderful feedback! We're very glad that we have been of help. :) Do check out our complete training here: www.edureka.co/ai-deep-learning-with-tensorflow. Please feel free to get in touch with us if you have any questions. Cheers!

[@ShubhamYadav-lt6dt]

yes

[@guruprasath9372]

Awesomely put crisp and to the point session. Thank you for sharing. Keep up the effort.

[@waleedal-khateib4437]

I work at Facebook and deep learning now is the gateway for future

[@HB-jf6yq]

This is a great video. Thank you very much for sharing.

[@suba3981]

Wow awesome video.It's much useful & interesting...Hatsoff to you guys

[@hectormargarito148]

Thank you for the clear introduction

[@priyaranjan1733]

Thanks Sir. You are simply awesome :)

[@RosieKTH94]

Thank you. Great explanation!

[@vanigupta5026]

Nice introductory session for the beginners to learn about deep learning. Pretty sorted on point things said in the video. Its a great help. Thanks

[@edurekaIN]

Hey Vani, thanks for the wonderful feedback! We're glad we could be of help. Do subscribe to our channel to stay posted on upcoming tutorials. You can also check out our complete Deep Learning training here: www.edureka.co/ai-deep-learning-with-tensorflow. Cheers!

[@costamelissac.5099]

Awesome work guys, keep up the good work.... Awesomely put crisp and to the point session. Thank you for sharing. Keep up the effort.

[@lynnc.mcdonald9461]

Thanks Sir. You are simply awesome :) Thanks for teaching the basics of Deep Learning.

[@ganeshrenovation6190]

Woh. Its fantastic.

[@kuljeetsingh6272]

Fan of your teaching art !!!

[@arumugamkumar9563]

hi,I before watching Edureka Deep learning video i don't have knowledge about deep learning but after watching i clearly understand(perfectly ) about deep learning .i really thanks for video making team.

[@edurekaIN]

Hey Arumugam, we are glad to have helped! :) If you are looking to master Deep learning then do check out our course here: www.edureka.co/ai-deep-learning-with-tensorflow Hope this helps :)

[@technicalrohit6266]

I really learned something very quickly!!😊

[@edurekaIN]

Thank you for appreciating our work, Rohit. We are delighted to see learners like you on board with us. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

[@salinikashyap7971]

Great video , thank you so much

[@apoorvsrivastava7121]

waiting for other videos ... awesome video ... great explanation

[@edurekaIN]

Hey Apoorv, thanks for the wonderful feedback! We're glad we could be of help. We will be coming up with more related videos shortly. Do subscribe to our channel to stay posted. Cheers! P.S: Here's a tutorial that you can refer to: kzbin.info/www/bejne/pJ3CZYp8fbZngrc.

[@laurentgarnier8738]

Thanks for sharing these interesting materials. Could it be possible to allow me (and others) to contribute to translations? Because in my country (and others) people are not necessarily good enough in English to understand. It would be very helpful and the world would become better.

[@edurekaIN]

Hey LAurent, sure! We would love to see how you can help us out. Do mail us at [e-mail] Cheers :)

[@lohithArcot]

This is the first time I've understood what deep learning is.

[@edurekaIN]

Hey Lohith, glad you loved the video. Here is the complete playlist for Deep Learning: kzbin.info/www/bejne/mpLJpnSwlKiJbbM. Happy Learning. Cheers!

[@GirishVenkatachalam]

Learnt a lot thanks

[@sanheensethi8344]

Thanks For giving me Link for the Playlist

[@edurekaIN]

Great, we hope that you liked our playlist and found it useful. Let us know if you are looking for anything else.

[@williamjayaraj2244]

Thanks for teaching the basics of Deep Learning.

[@edurekaIN]

Hi Wiiliam, thanks for appreciating our efforts. Do give this video a thumbs up and subscribe to the channel for more amazing content. Cheers!

[@santhoshpalwai11]

Good explanation

[@sayankumarroy19]

INFORMATIVE

[@alok008008]

Awesome work guys, keep up the good work....

[@edurekaIN]

Hey Alok, thanks for the wonderful feedback! We're glad we could be of help. Here's another video that we thought you might like: kzbin.info/www/bejne/eJfSqHWqft2Bq5Y. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!

[@dompower500]

excellent place where I can learn without supervision

[@edurekaIN]

We are glad you loved the video. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

[@GauravKumar-ei1bt]

In the machine learning example of flowers how can the machine develop a relation between sepal length, width , etc without us mentioning it.

[@brahmaiahchowdarym1913]

Nice Explanation and Thanks Edureka

[@edurekaIN]

Hey, thanks for the compliment. We are glad you liked the video. Do subscribe and stay tuned for more updates. Cheers!

[@rituranikeshri5999]

i really enjoyed the video

[@khushboopandey6461]

Thank you 😊

[@aakash5748]

Great video

[@sairy4530]

Explain a general example for backpropogation

[@sailakshmankinthali6501]

i am having confusion in which course should i select for my intern topics are 1)Human Computer Interaction using Deep Learning.2)Digital system design. Internet-of-Things (IoT) based system. 3D modeling of buildings. Mobile and Web App development.3)Machine learning and Data Analytics in Software Engineering or Web Services.

[@edurekaIN]

Hey Lakshmi, we have a designated course for each of those topics. Which course you chose depends what your learning goals are. Deep Learning and Machine Learning algorithms can be a very good option for you as market implementations of these are growing big. IoT and 3D modeling can also be a good path to take given companies are investing big in these. Mobile and Web development have always been, and will always be around. Data Analytics and Web services can be good if you are looking for a job in this space. You can check out our courses here: www.edureka.co Hope this helps :)

[@AH-cf9cv]

this is awesome

[@edurekaIN]

Thank you for watching our video. Do subscribe, like and share to stay connected with us. Cheers :)

[@vineethgowda03]

Yeah now I got to know something about ml ai thank you

[@edurekaIN]

Thank you for watching our video. Do subscribe, like and share to stay connected with us. Cheers :)

[@nayanamadhu2480]

Excellent session

[@edurekaIN]

Thank you for watching our video. Do subscribe, like and share to stay connected with us. Cheers :)

[@jiteshmohite1069]

Great tutorial !!! Just have one question now a days lot of things coming in Ml and deep learning, so I am now confused from where to start ? I am thinking to start tensorflow and gain deep knowledge in it ? Is it the right choice ?

[@edurekaIN]

Hey Jitesh, thanks for checking out our tutorial. We're glad you found it useful. TensorFlow is a good course choice. It will help you delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction so it's a good start. You can check out more details here: www.edureka.co/ai-deep-learning-with-tensorflow. Please feel free to get in touch with us at [phone] if you have any questions or need any assistance. Hope this helps. Cheers!

[@BilalAhmad-eh3hk]

Thank you for extraordinary explanation 💖

[@edurekaIN]

Thank you so much for your review on our channel  Great to hear that Edureka is helping you learn better . We’ll strive to make even better learning contents/courses in the future ! Do subscribe the channel for more updates : )

[@atharvabodhankar141]

Videos are excellent!!

[@edurekaIN]

Hey Atharva, we are glad you feel this way. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

[@bellkaren]

What are modules in deep learning?

[@jakec5618]

You guys should do a video on how chatgpt/bard works.

[@edurekaIN]

Feel Free to check our channel we have already done videos on ChatGPT please check it out!!

[@edurekaIN]

Feel Free to check our channel we have already done videos on ChatGPT please check it out!!

[@mazharbukhari786]

With due respect, you have mentioned that the idea behind Deep Learning is to build learning algorithms that mimic brain (15:20), if we succeed to build an algo, will it be appreciated in international market?

[@edurekaIN]

Hi Mazhar, It depends on what your model does. At present we're in need of models that benefit the society.

[@biggboss5194]

very nice video

[@edurekaIN]

+bigg boss, thanks for checking out our tutorial! We're glad you found it useful. You can check out our complete Deep Learning training here: www.edureka.co/deep-learning-with-tensorflow Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!

[@harimerugu8812]

grear video tq

[@edurekaIN]

Glad you liked it

[@dipalimalviya6921]

can u please give more tutorial on deep learning

[@edurekaIN]

Hey Dipali, thanks for checking out our tutorial. Here's another video that you might like: kzbin.info/www/bejne/pJ3CZYp8fbZngrc. You can access our complete training by enrolling into our course here: www.edureka.co/ai-deep-learning-with-tensorflow. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!

[@dipalimalviya6921]

Can i get more tutorials on machine learning as well in sequential order from beginner level,it will be so helpful and thanks for reply

[@edurekaIN]

Hey Dipali, these are the only tutorials we have on KZbin at the moment. rest of our material can be accessed by enrolling into our course. We will be coming up with more tutorials in the future so if you are okay with waiting you can do that too. Cheers!

[@dipalimalviya6921]

Ok, thanks for help

[@arjunrpillaipillai6341]

can you do a video about cognitive computing?

[@edurekaIN]

Hi Arjun, thanks for watching the video. We will process your request as soon as possible. Do subscribe and stay tuned for future updates. Cheers!

[@manasideshmukh737]

I have one question??? Sir What is the actual meaning of Weight ? U have specified weight in the example of deep learning..

[@edurekaIN]

Hey Manasi, "Weights and biases are the learnable parameters of your model. The values of these parameters before learning starts are initialised randomly. Then when presented with data during training, they are adjusted towards values that have correct output. Hope this helps!

[@priyankakondapaka3138]

prediction of the future can be done by using R tool and what is the future prediction in deep learning

[@edurekaIN]

Hey Priyanka, ANNs (artificial neural networks) are great at modelling and using statistics/back propagations/data manipulations to make a future preditions Hope this helps!

[@vaishnavimanthalkar116]

What is exact meaning of training data and testing data??

[@edurekaIN]

Hi Vaishnavi, Training data is the information used to train an algorithm. It includes both input data and the corresponding expected output. Testing data includes only input data, not the corresponding expected output. It is used to assess how well your algorithm was trained, and to estimate model properties.

[@casemsee3957]

Awesome.Is there any PPT/PDF slides available?

[@edurekaIN]

+Case Msee, thanks for checking out our tutorial. We're glad you liked it. Here's the SlideShare link: www.slideshare.net/EdurekaIN/what-is-deep-learning-deep-learning-simplified-deep-learning-tutorial-edureka. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!

[@harkirankaur4152]

What is step function and sigmoid function?

[@edurekaIN]

Hey Harkiran! "Sigmoid Function is used in neural networks to give logistic neurons real-valued output that is a smooth and bounded function of their total input. It also has the added benefit of having nice derivatives which make learning the weights of a neural network easier. Step Function is a web service that enables you to coordinate the components of distributed applications and microservices using visual workflows. You build applications from individual components that each perform a discrete function, or task, allowing you to scale and change applications quickly." Hope this is helpful. Cheers!

[@Tomraider-dn5ql]

Okh let me admit it I learned something

[@mouniswar7]

Is it Possible to train Deep Learning Models on Gt840M?

[@edurekaIN]

Hey, Yes, you can do it, but configuration is costly and the process is to slowly. Instead, go for AWS for training. Hope this helps!

[@azharsiddiqui4450]

There is very high pollution in Delhi. Can ANN or Deep learning solve the problem?

[@edurekaIN]

Hey Azhar! Innovation is the name of the game. These latest tech are still in the development phase. We see a lot of products being introduced in the market using these tech that solve our daily life problems. It is motivated learners like you and others who come with apt solution that can take the market by storm. Become an expert in deep learning and you will have all the answers to your questions\. Check out our deep learning courses here: www.edureka.co/ai-deep-learning-with-tensorflow Hope this helps. Thanks :)

[@khumanthemjimmy7958]

Can we use machine learning in DIP

[@edurekaIN]

To be precise, deep learning is part of machine learning. So, that's a yes to your question. Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned. Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own.

[@haSHAH1]

👍👊

[@shubhamasthana7947]

Any other eg. Of machine learning

[@edurekaIN]

Check out Edureka Machine Learning Playlist: kzbin.info/aero/PL9ooVrP1hQOHUfd-g8GUpKI3hHOwM_9Dn

[@wilsonlopez697]

Machines Do Get Tired

[@kapildevpandey4625]

Can I able to make AI app aur software aur programme for me and my dream project

[@edurekaIN]

Hi there. Yes, you definitely can. You need to understand how everything codes, you need to know how to code and much more. You can follow this tutorial that we have for this: kzbin.info/www/bejne/eqDSqXd_h6aehqM