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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)