The collection
Deep Learning Under the Hood
Follow information and gradients through a neural network.
For: Engineers learning neural networks
Prerequisites: Basic algebra and machine learning
Simple operations. Learned representations.
Follow a signal through a neural network, then follow the error back to understand what training changes.


