In this video, I tackle a fundamental algorithm for neural networks: Feedforward. I discuss how the algorithm works in a Multi-layered Perceptron and connect the algorithm with the matrix math from previous videos.

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This video is part of Chapter 10 of The Nature of Code (

This video is also part of session 4 of my Spring 2017 ITP “Intelligence and Learning” course (

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