TensorFlow 2.0 RC is available
Install the preview release of TensorFlow 2.0 RC. See the GPU guide for CUDA®-enabled cards.
#rc0 requires the latest version of pip
pip install --upgrade pip
pip install tensorflow==2.0.0-rc1
Install TensorFlow
TensorFlow is tested and supported on the following 64-bit systems:
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# upgrade pippip install --upgrade pip
# Current stable release for CPU-onlypip install tensorflow
# Preview nightly build for CPU-only (unstable)pip install tf-nightly
# Install TensorFlow 2.0 RCpip install tensorflow==2.0.0-rc1
Download a package
Install TensorFlow with Python's pip package manager.
Official packages available for Ubuntu, Windows, macOS, and the Raspberry Pi.
See the GPU guide for CUDA®-enabled cards.
Run a TensorFlow container
The TensorFlow Docker images are already configured to run TensorFlow. A Docker container runs in a virtual environment and is the easiest way to set up GPU support.
docker pull tensorflow/tensorflow # Download latest image
docker run -it -p 8888:8888 tensorflow/tensorflow # Start a Jupyter notebook server
Google Colab: An easy way to learn and use TensorFlow
No install necessary—run the TensorFlow tutorials directly in the browser with Colaboratory, a Google research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. Read the blog post.