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lect15, Tue 05/27
Week 9: (PA03) DFS based backpropagation
Code from lecture
We will review PA03 starter code: https://github.com/ucsb-cs24-s25/STARTER-pa03/blob/main/NeuralNetwork.cpp
Class handout
Link to handout: https://bit.ly/NN-DFS-Backprop
Preclass videos to watch
- StatQuest - Neural Network Basics (great for understanding the prediction algorithm): https://youtu.be/CqOfi41LfDw?si=8waS2U01uMWcpH2i
- StatQuest - Back Propagation (great for understanding the contribute algorithm): https://youtu.be/IN2XmBhILt4?si=bnDft-3T4DQ2iO9X
- 3Blue1Brown - https://youtu.be/aircAruvnKk?si=KZt2AsbD7URc58-L
Topics
- Understand the dataflow to implement a DFS-based backpropagation algorithm for Pa03 (needed to implement the recursive contribute function in PA03)