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. For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms. Download the latest Python 3 and Python 2 source. This video will cover installation on Mac OS. If you are using Windows, watch the separate video covering Windows installation instead. The method we'll use to install TensorFlow will only install the core TensorFlow libraries. Copy dmg to usb. It won't install the additional components needed to take advantage of the video card's GPU to accelerate processing.
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