Overview
Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.
Features
- Multi-Backend: Support for TensorFlow, JAX, and PyTorch backends.
- Modularity: Models are understood as a sequence or a graph of stand-alone, fully-configurable modules.
- Easy Extension: Add custom layers and loss functions with minimal boilerplate.
Use Cases
- Rapid prototyping of neural network architectures.
- Academic research in deep learning.
- Industry-standard ML pipeline development.