Keras

Keras is an open-source deep learning framework designed to provide a high-level, user-friendly interface for building, training, and deploying neural networks. It serves as a powerful abstraction layer over backends such as TensorFlow, simplifying the process of defining complex models while maintaining access to lower-level controls when needed. Keras is intended to help researchers, engineers, and practitioners rapidly prototype and iterate on deep learning architectures without sacrificing flexibility or performance.

Key features of Keras include a modular, composable API for building models using the Sequential and Functional APIs, support for subclassing custom models, and a wide range of built-in layers, loss functions, metrics, and optimizers. It offers integrated tools for training workflows, including callbacks, checkpointing, early stopping, mixed precision, and distributed training across multiple GPUs and machines. Keras supports model serialization, saving, and loading in standardized formats, and provides utilities for preprocessing images, text, and structured data. It also integrates with TensorFlow Extended (TFX), TensorBoard, and other ecosystem tools for production deployment and monitoring.