Keras

Keras is a multi-backend deep learning framework that supports JAX, TensorFlow, PyTorch, and OpenVINO. It provides a high-level UX for building and training models, making it easier to develop and deploy deep learning solutions. Keras 3 is designed to be a drop-in replacement for tf.keras, allowing users to run their existing code on top of any framework. It also provides a way to write custom components that can be used in low-level workflows in any framework, making it a great choice for developers who want to avoid framework lock-in. Keras 3 supports a wide range of applications, including computer vision, natural language processing, audio processing, timeseries forecasting, and recommender systems. It also provides a number of features, including accelerated model development, state-of-the-art performance, and datacenter-scale training. Overall, Keras is a powerful and flexible deep learning framework that can be used for a wide range of applications. Keras 3 is compatible with Linux and macOS systems, and can be installed using pip or by building from source. It also provides a number of configuration options, including the ability to export the environment variable KERAS_BACKEND or edit the local config file at ~/.keras/keras.json. The OpenVINO backend is an inference-only backend, meaning it is designed only for running model predictions using the model.predict() method. Keras 3 is intended to work as a drop-in replacement for tf.keras, and can consume datasets in any format, regardless of the backend being used.

Category

AI/ML

Pricing

Open Source

Official website: https://github.com/keras-team/keras

Canonical LambdaBase page: https://www.lambdabase.com/tools/keras