Deep Learning 3: PyTorch programming (coding session)

[@phenixzhang4224]

As a newcomer who has already learned pytoch, this class has allowed me to consolidate the actual combat practice of torch and understand the magic of vision. In addition, I would like to ask Willcocksr: How should we learn more about using pytoch to build our own network?

[@AymenSekhri-gw8wh]

Thank you so much ! rich content for free.

[@compsciorbust9562]

Incomplete list of timestamps: 0:00 - Introduction 3:01 - Installing Conda 13:25 - Using Torch (tensors) 23:00 - Using Torch (data parsing) 32:15 - Using backprop 52:00 (ish) - Using convolution

[@khalidsaifullaah]

I really loved the way the codes have been explained here, though the complete code has been written on the left window still Chris explains each line by running them on the right window, which makes the whole process very engaging and interactive. One question, could you elaborate a bit on "It's easier to train with the power of 2" at 30:40