ConvNetJS is an open-source JavaScript library for building and training convolutional neural networks and other neural-network models in the browser. It targets...
Pros
- Runs directly in the browser without a server-side runtime
- Simple educational implementation of convolutional and fully connected networks
- Supports interactive demos and model training with plain JavaScript
Cons
- Development has largely stalled since the mid-2010s
- Much smaller ecosystem than TensorFlow.js
- Lacks modern GPU, WebGL, and WebGPU acceleration