Тем временем вышел Keras 3
Тем временем вышел Keras 3.0.0.
Я бы сказал, возврат к истокам -- это снова multi-backend либа, но теперь с поддержкой JAX, PyTorch, TF и NumPy.
https://github.com/keras-team/keras/releases/tag/v3.0.0
Main highlights compared to Keras 2 are:
* Keras can now be run on top of JAX, PyTorch, TensorFlow, and even NumPy (note that the NumPy backend is inference-only).
* New low-level keras.ops API for building cross-framework components.
* New large-scale model distribution keras.distribution based on JAX.
* New stateless API for layers, models, optimizers, and metrics.
Я бы сказал, возврат к истокам -- это снова multi-backend либа, но теперь с поддержкой JAX, PyTorch, TF и NumPy.
https://github.com/keras-team/keras/releases/tag/v3.0.0
Main highlights compared to Keras 2 are:
* Keras can now be run on top of JAX, PyTorch, TensorFlow, and even NumPy (note that the NumPy backend is inference-only).
* New low-level keras.ops API for building cross-framework components.
* New large-scale model distribution keras.distribution based on JAX.
* New stateless API for layers, models, optimizers, and metrics.
Источник: gonzo-обзоры ML статей
2023-11-30 13:00:36