gradiatorjs

GradiatorJS is a lightweight, from-scratch autodiff engine and a neural network library written in typescript. Featuring a powerful automatic differentiation engine using a computation graph to enable backpropagation on dynamic network architectures. You

v0.2.2 URL: https://unpkg.com/gradiatorjs@0.2.2/dist/index.cjs

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neural-network deep-learning machine-learning autodiff automatic-differentiation backpropagation gradient-descent cnn convolutional-neural-network typescript javascript browser from-scratch educational lightweight

neuralnet

a general purpose neural net with back propagation, an A.I. tool useful for machine learning and decision making

v1.0.1 URL: https://unpkg.com/neuralnet@1.0.1/neuralnet.js

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neuralnet neural net artificial neural net ann nn machine learning ai backpropagation back propagation

node-ann

A implementation of an Artifical Neural Network with Backpropagation learning.

v0.4.2 URL: https://unpkg.com/node-ann@0.4.2/index.js

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neural network artifical learning backpropagation mse

layer-oriented-deep-learning-network-js

A feed-forward neural network with injectable layers, activation functions, and optimizers.

v2.3.3 URL: https://unpkg.com/layer-oriented-deep-learning-network-js@2.3.3/lib/index.js

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deep learning neural network gradient desecent activation function relu backpropagation

layerganza

A feed-forward neural network with injectable layers, activation functions, and optimizers.

v2.4.1 URL: https://unpkg.com/layerganza@2.4.1/lib/index.js

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deep learning neural network gradient desecent activation function relu backpropagation