Beginner Deep Learning Tutorial in PyTorch | How to Make a Convolutional Neural Network | Tutorial 1

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Explaining the effects of batch size, learning rate, loss function, cross entropy function. Calculating model gradient / derivatives through backpropagation, forward pass, backward pass through the network.

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At every point video was informative and interesting. The way you communicate is very easy to understand

meenakshichippa
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this is dope, thank you so much. Would love to see more in this series

spirit
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Bro that was such a clear tutorial, I subbed

itsRemco
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Great job greg
Would you do sequance models in pytorch, please?

mahmoudmohsen
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Why didn't you use the chroma key to make the background transparent?

rssgtzk
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For some reason, Pytorch seems to be much more complicated than TF...

mikekertser