Annotated neural network implementations

What it does

We are actively maintaining a collection of easy-to-read implementations of popular neural network models and related algorithms (Transformers, GANs, RL..). All these implementations are accompanied by side-by-side notes, maths, and references to the papers.

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  Collection of deep learning implementations with side-by-side notes2021 · nn.labml.ai · ▲251
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  Neural networks tutorial series with code2020 · github.com · ▲107

  The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.

• AV
  A Visual and Interactive Guide to the Basics of Neural Networks2016 · jalammar.github.io · ▲63

  Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train

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  Simple and comprehensive tutorials in Deep Learning using TensorFlow2018 · github.com · ▲157

  Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.

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  Annotate2023 · annotate.my.canva.site · ▲106

  Powering AI, one data point at a time

• AB
  A browser-based neural network simulation2015 · neurovis.dataphoric.com · ▲31

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• A2
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