Shypd.aiThe largest open index of AI toolsrecurrentjs is an Open Source & Models tool that implements Deep Recurrent Neural Networks and LSTMs in Javascript. It also supports arbitrary expression graphs with automatic differentiation.
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recurrentjs is a Javascript library designed for implementing Deep Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) networks. Beyond these specific neural network types, the library offers general functionality to construct arbitrary expression graphs, over which it can perform automatic differentiation, similar to capabilities found in Python's Theano or Torch. This allows developers to build various neural networks and execute automatic backpropagation. The library provides core components like a Graph structure for managing matrix connections and a Mat class for 2-dimensional matrices, including their values and derivatives. It's an open-source tool, making it accessible for those looking to explore or implement neural networks in Javascript.
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