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26 lis 2024 · Installation Install with pip. Keras 3 is available on PyPI as keras. Note that Keras 2 remains available as the tf-keras package. Install keras: pip install keras --upgrade Install backend package(s). To use keras, you should also install the backend of choice: tensorflow, jax, or torch.
To use it, you can install it via pip install tf_keras then import it via import tf_keras as keras. Should you want tf.keras to stay on Keras 2 after upgrading to TensorFlow 2.16+, you can configure your TensorFlow installation so that tf.keras points to tf_keras .
24 paź 2024 · TF-Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation and providing a delightful developer experience. The purpose of TF-Keras is to give an unfair advantage to any developer looking to ship ML-powered apps.
Keras 3 is available on PyPI as keras. Note that Keras 2 remains available as the tf-keras package. Install backend package (s). To use keras, you should also install the backend of choice: tensorflow, jax, or torch. Note that tensorflow is required for using certain Keras 3 features: certain preprocessing layers as well as tf.data pipelines.
In general, there are two ways to install Keras and TensorFlow: Install a Python distribution that includes hundreds of popular packages (including Keras and TensorFlow) such as ActivePython. Use pip to install TensorFlow, which will also install Keras at the same time.
To install a local development version: Run installation command from the root directory. The requirements.txt file will install a CPU-only version of TensorFlow, JAX, and PyTorch. For GPU support, we also provide a separate requirements-{backend}-cuda.txt for TensorFlow, JAX, and PyTorch.
Keras 3 is available on PyPI as keras. Note that Keras 2 remains available as the tf-keras package. Install backend package (s). To use keras, you should also install the backend of choice: tensorflow, jax, or torch. Note that tensorflow is required for using certain Keras 3 features: certain preprocessing layers as well as tf.data pipelines.
