Deeplearnjs is a JavaScript deep learning framework and automatic differentiation engine designed for building and training artificial intelligence models within a web browser environment. It functions as a machine learning library that leverages WebGL to provide hardware acceleration for neural networks.
The project serves as a high-performance linear algebra library, using the GPU to execute operations on multi-dimensional arrays. This enables the implementation of deep learning models and the execution of client-side machine learning inference.
The framework covers the complete automatic differentiation workflow, allowing for the calculation of mathematical gradients to optimize model weights. It provides the necessary tools for performing complex linear algebra and managing the training of neural networks using WebGL.
