Hello and welcome to this blog on various topics in deep learning, machine learning, AI, and computer science, in general.

Purpose

There are fantastic pages explaining ML concepts out there (CS231n from Stanford, 3Blue1Brown, fast.ai, etc.) - I want to connect some of the dots by providing easy-to-understand examples. Still, you might want to take your time and work through the code thoroughly :-).

I am convinced that algorithms are taught most efficiently (time invested vs concepts understood) by example. Let’s work through what is actually computed.

Posts

By example

• Feb 24, 2020

  A worked example of backpropagation

• Feb 16, 2020

  Automatic Differentiation for Deep Learning, by example

• Feb 8, 2020

  Making sense of LSTMs by example

Why x

• Feb 17, 2020

  Why so sigmoid??

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