10.12: Neural Networks: Feedforward Algorithm Part 1 - The Nature of Code

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.

Next Part: https://youtu.be/HuZbYEn8AvY

This video is part of Chapter 10 of The Nature of Code (http://natureofcode.com/book/chapter-10-neural-networks/)

This video is also part of session 4 of my Spring 2017 ITP "Intelligence and Learning" course (https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks)

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Sigmoid Function on Wikipedia: https://en.wikipedia.org/wiki/Sigmoid_function
Videos mentioned in this video:
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