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AI · alternatives · 2026

24 alternatives to Visualizing a neural network as it learns

An interactive neural network with backpropagation that learns logical operators like XOR, OR, NAND, and AND in real time.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Visualizing a neural network as it learns launched in 2014; newer entries below may have overtaken it.

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    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 →

  4. 4IA

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

    2018 · enlight.nyc · its alternatives →

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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 →

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    Can a neural network learn to recognize doodles?

    2016 · quickdraw.withgoogle.com · its alternatives →

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    A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go

    2017 · github.com · its alternatives →

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    Learn how AI trains neural networks—beginner friendly.

    Jul 2026 · khayyamshah2007.blogspot.com · its alternatives →

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    I trained a transformer in HyperCard. 1,216 parameters. 1989 Macintosh. And yes, it took a while. MacMind is a complete transformer neural network, embeddings, positional encoding, self-attention, backpropagation, and gradient descent, implemented entirely in HyperTalk, the scripting language Apple shipped with HyperCard in 1987. Every line of code is readable inside HyperCard's script editor. Option-click any button and read the actual math. The task: learn the bit-reversal permutation, the opening step of the Fast Fourier Transform. The model has no formula to follow. It discovers the…

    Apr 2026 · github.com · 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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    sketch-rnn model trained to write kanji.

    2018 · otoro.net · its alternatives →

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    Core concepts behind neural networks and deep learning

    2015 · neuralnetworksanddeeplearning.com · its alternatives →

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    Sonnet▲134

    A new library for constructing neural networks from DeepMind

    2017 · deepmind.google · its alternatives →

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    AI Learning: See, Hear, Speak—Discover Brilliance

    2025 · scenesnap.co · its alternatives →

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    I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…

    2023 · github.com · its alternatives →

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    A ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class from 8 KiB up.

    Sep 2026 · tinybrains.dev · its alternatives →

  21. 21NN

    Free to use online neural network photo to painting generator.

    2015 · instapainting.com · its alternatives →

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    Watch a Neural Network learns to shoot a target. Contribute to victorqribeiro/bangBangML development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  23. 23GC

    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 →

  24. 24NX

    More precisely, even the best neural networks can not be trained to approximate periodic functions using stochastic gradient descent. (empirically, prove me wrong!) Contents Simulating a clock Simplifying the problem Why can’t we train the sin? What to do about it? Simulating a clock The problem tha

    2022 · lostmsu.github.io · 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 →