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AI · alternatives · 2026

24 alternatives to Neural Network Tutorial

Intuitive, natural, cohesive tutorial for neural networks

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Neural Network Tutorial launched in 2024; newer entries below may have overtaken it.

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    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.

    2020 · github.com · its alternatives →

  3. 3AV

    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

    2016 · jalammar.github.io · its alternatives →

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

    2018 · github.com · its alternatives →

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    :satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow

    2018 · github.com · its alternatives →

  6. 6

    Can a neural network learn to recognize doodles?

    2016 · quickdraw.withgoogle.com · its alternatives →

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    :earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World

    2017 · github.com · its alternatives →

  8. 8IA

    An introduction to building a basic feedforward neural network with backpropagation in Python.

    2018 · enlight.nyc · its alternatives →

  9. 9AB
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    A perceptron written in COBOL. Contribute to victorqribeiro/perceptronCobol development by creating an account on GitHub.

    2020 · github.com · its alternatives →

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  13. 13GC

    Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...

    2016 · tkipf.github.io · its alternatives →

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    The most simple neural network plotter

    2018 · github.com · its alternatives →

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    Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.

    2019 · github.com · its alternatives →

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  18. 18AI
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    Version and share your trained neural network models

    2016 · its alternatives →

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    I made this tool to get some better intuition on how neural networks/backpropagation worked, but I'm really unsure what to do with it now, so I've put it up on github, and I wrote a little primer on backprop and neural networks to showcase it. Really curious to hear any thoughts you might have, or anything I got wrong in the write up!

    2024 · github.com · its alternatives →

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    sketch-rnn model trained to write kanji.

    2018 · otoro.net · its alternatives →

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    Paint artistic patterns using random neural network

    2016 · github.com · its alternatives →

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    A flexible artificial neural network builder to analyse performance, and optimise the best model. - GitHub - casparwylie/Perceptron: A flexible artificial neural network builder to analyse performance, and optimise the best model.

    2017 · github.com · its alternatives →

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    Neuron▲126

    Teaching machines to learn

    2016 · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →