After being inspired by the amazing work by Julia Evans (check it out here!) I've decided to create zines on the concepts that intrigue me.

(There's only one at the moment; I'm just starting out!)

ML Basics: Binary Classification

This zine covers mathematical derivations for the following:

  • Binary classification using a neuron
  • Non-linear classification with a Multilayer Perceptron
  • Effect of adding layers to a Multilayer Perceptron.

It's intended to be a compilation of summary notes on these topics, especially as reference material for backpropagation in fully connected neural networks. Companion posts — which include code and demos — can be found here.

ml basics 1 front

Link to zine here.

© Dhruv Thakur 2021

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