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Bookmark or Share- Install TensorFlow 2Last updated 2023-03-24 UTC. Learn how to install TensorFlow on your system. Download a pip package, run in a Docker container, or build from source. Enable the GPU on supported cards.
- GitHub - tensorflow/tensorflow: An Open Source Machine Learning ...TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools , libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
- TensorFlow - WikipediaTensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. [3] [4] It was developed by the Google Brain team for Google 's internal use in research and production.
- Introduction to TensorFlowTensorFlow. Learn the foundations of TensorFlow with tutorials for beginners and experts to help you create your next machine learning project. Learn more. For Web. Use TensorFlow.js to create new machine learning models and deploy existing models with JavaScript. Learn more. For Mobile & Edge.
- TensorFlowAn end-to-end platform for machine learning. Install TensorFlow. Get started with TensorFlow. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. View tutorials. import tensorflow as tf. mnist = tf.keras.datasets.mnist.
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