Computational Graphs For Neural Networks - Visual Code Demo

In this lesson, we examine the computational graphs used to compute gradients via backpropagation during neural network training. We'll use PyTorch for demo purposes, but the concepts we cover here are fundamental general concepts of neural networks.

This lesson is part of the Deeplizard Generative Adversarial Networks course. Check out the GANs course here:
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