AndroidDL.js v1.2.0 – Introducing RNN, GRU & LSTM Support

AndroidDL.js v1.2.0

This release brings a major upgrade to AndroidDL.js with support for recurrent neural networks and new tensor operations.

🚀 What's New

Recurrent Neural Networks

• Added RNNCell and RNN.
• Added GRUCell and GRU.
• Added LSTMCell and LSTM.
• Added sequence processing and backpropagation through time (BPTT).
• Added support for initial hidden and cell states.

Tensor Operations

• Added concatenate and stack.
• Added squeeze and unsqueeze.
• Improved tensor slicing with multidimensional and negative-step support.
• Improved handling of non-contiguous tensors and strided views.

Autograd & Testing

• Extended gradient propagation through recurrent layers.
• Added numerical gradient checks.
• Expanded test coverage across tensor operations and recurrent networks.

📦 What's Included

• Core Tensor and autograd engine
• Neural network modules
• SGD optimizer
• MSE and Cross Entropy losses
• Categorical distribution
• RNN, GRU and LSTM architectures

🎯 What's Next?

Continuing to build a lightweight, PyTorch-inspired deep learning library in JavaScript — one operation at a time.

Build your own PyTorch. Understand every operation.

Thanks for following the AndroidDL.js journey!

Repository: https://github.com/AkashPrajapathi/androiddl-js