TensorFlow 2.0 - A Coding Tutorial

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How to get started with TensorFlow 2.0 for coding your own custom neural networks using the fundamental building blocks of one of the most popular Deep Learning libraries.

More practical Deep Learning coding tutorials using more features of TensorFlow 2.0 to come!

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15 dislike because they are jealous and angry that you teach people these incredible stuff. Thank you very much Sir.

masteronepiece
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By far the best video on Tensorflow 2.0 with excellent explanations. I just wish you zoomed into the code you were writing so old coders as I can easily replicate your work without all the eye strain! Definitely, a thumbs up for the explanation and speed of your video. I look forward to reviewing everything you have posted and everything yet to be posted!

BiffBifford
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Argggg you're my life's savior. I was extremely frustrated moving from tf1 to tf2, then this video came out in the youtube recommendation. Thank god

AnhNguyen-opou
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What's up with all these trolls here. They probably can't even pronounce Tensorflow. Good job Shawn keep it up, helping me get through my Data Science projects ...

robertbrodsky
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Great and easy to follow tutorial. Will you now be using tensorflow 2.0 in your upcoming tf tutorials?

Silver-fhfb
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Great work. Could you do more on tf 2.0? what about reinforcement learning?

DanielWeikert
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Keep up the great work! Awesome tutorials.

hello
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Could you dive more into preprocessing? How exactly do you know how to preprocess your data when facing an new ml challenge? Best practises?

DanielWeikert
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I have an issue the way you coded the fit function. At least with PyTorch, you need to call the forward function of the model to feed in the input data before typing down the optimizer and lost function. It looks like you coded the forward propagation within the "call" function but I don't see you invoking it within the fit function.

pixel
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Great video. Can you please make a video on solving differential equation and any mathematical equation using tf 2?

shreesjourney
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Re-uploaded to fix audio issues. Enjoy :D

TheComputerScientist
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Every single introduction to deep learning I've seen so far uses the same hand written digit example. I guess it is the "Hello world!" of neural networks.

djee
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Hi, nice video. could you please tell how to pass own input image for recognition?

indiansoftwareengineer
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hello thats a great video keep going! could make a video about using Q learning in supply chain managment plz

omarlghali
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can you zoom your screen in next upcoming videos its tuff to see in less quality videos

vishalshete
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Thanks for the great video. Though the explanation was good, I found the content / concepts difficult. Could you suggest some videos/resources to first go through to understand TF and this video better? Thanks a lot.

caspase
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5:23 so there is no need to call model.predict() anymore?

DanielWeikert
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bro.. I'm professional web developer recently moved into ML.. but I just can't understand what to do here.. your video also was simple from the start, but then everything went berzerk for me when all the argzmax, loss function, lamda kicked in

Please make a video which any lay person non-math background person can understand whats going on..

valentinopereira
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Great tutorial.
Question: did yours really train that fast or did you speed up the video?

timking
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Next time please zoom in a little bit!

harshtiwari