Keras
Making advanced neural networks accessible to all: Introducing Keras, the versatile deep learning framework with multi-backend support and easy GPU processing setup.
Keras is a user-friendly deep learning framework that enables researchers and developers with minimal machine learning expertise to build advanced neural networks using multiple backend engines like TensorFlow, JAX, and PyTorch. It ensures backward compatibility and simplifies backend configuration through environment variables or config files. Keras 3 also supports GPU processing and provides separate installation packages for CUDA dependencies.
About Keras
Keras is a versatile deep learning framework, developed with the aim of making advanced neural networks accessible to researchers and developers without requiring extensive expertise in machine learning or artificial intelligence. With Keras 3, users can leverage multiple backend engines, including TensorFlow, JAX, and PyTorch.
Keras simplifies the process of configuring backends by providing various methods: users can set the environment variable KERAS_BACKEND or modify their local config file at ~/.keras/keras.json. Keras 3 also ensures backward compatibility with TensorFlow, allowing users to employ their existing tf.keras code as a drop-in replacement.
Additionally, Keras offers support for GPU processing. Users can install backend packages with CUDA dependencies through separate requirements-{backend}-cuda.txt files, ensuring proper setup and compatibility. By using these features, Keras makes it easier for the deep learning community to access and utilize advanced neural networks.