Keras
Keras is an open-source, high-level neural networks API written in Python. Now tightly integrated with TensorFlow, it enables fast experimentation and deployment of deep learning models with minimal code. Keras is designed to be user-friendly, modular, and extensible, supporting both research and production environments.
Key Features
TensorFlow-First: Now fully integrated into TensorFlow as tf.keras, but still usable as a standalone API.
Model Variety: Supports convolutional, recurrent, and hybrid neural networks.
Flexible Backend (Legacy): Previously supported Theano and CNTK; now primarily TensorFlow.
Cross-Platform Compatibility: Runs on CPU and GPU with minimal setup.
Rapid Prototyping: Simplifies model development with clear, concise syntax.
Example Use Cases
Prototyping and deploying deep learning models in computer vision or NLP
Teaching and learning deep learning fundamentals
Building production models within TensorFlow-based pipelines
Creating custom neural network layers and workflows