Back
All Modules Machine Learning Deep Learning NN Fundamentals & Backprop

NN Fundamentals & Backprop

Forward and backward passes, the chain rule, vanishing and exploding gradients, initialization.

0 / 4 solved
0/4 solved
Question Tags Difficulty Success
1. Forward March, Backward Blame
forward-passneural-networks
Easy 80%
2. Chain Reaction
backpropagationchain-rule +4
 Medium 86%
3. Stacking the Deck
depthrepresentation-learning
Medium 100%
4. Goldilocks Weights
weight-initializationvanishing-gradients
Medium 100%

Learning Resources

3Blue1Brown, Neural Networks
Karpathy, Neural Networks: Zero to Hero (micrograd)

Up next

4 of 4 questions here are still unsolved.

Next module Activations & Optimization