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ConvNetJS

Submitted by on Jan 08 2020 Suggest Revision
From: Andrej Karpathy
Paper:
Resource Type:
Code Project
License:
MIT license
Language:
Javascript
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Description

The library allows you to formulate and solve Neural Networks in Javascript, and was originally written by @karpathy (I am a PhD student at Stanford). However, the library has since been extended by contributions from the community and more are warmly welcome. Current support includes: Common Neural Network modules (fully connected layers, non-linearities) Classification (SVM/Softmax) and Regression (L2) cost functions Ability to specify and train Convolutional Networks that process images An experimental Reinforcement Learning module, based on Deep Q Learning.
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