This is the second video in the Neural Nets From Scratch series. I go step by step describing exactly what perceptrons are, their structure, how they work under the hood, and most importantly how to implement one from scratch in python.
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Links & References:
Textbook I am following is:
Introduction to Computational Data Science Using ScalaTion
By Dr. John Miller of the University of Georgia
Specifically Chapter 10 - Section 4 (Starting on page 319)
https://cobweb.cs.uga.edu/~jam/scalat...
More Background on Perceptrons:
https://towardsdatascience.com/what-i...
GitHub Repo Link:
https://github.com/thedatadaddi/nns_a...
Specific path to file is as follows: nns_and_opt/nn/perceptron.ipynb