video

Deep Learning Course - Level: Advanced
In this episode, we'll 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 concepts of neural networks. While we'll be gaining an understanding of a fundamental piece of training neural networks, there is an important reason to examine this in the GAN course.
Committed by on