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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. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Train a neural network to classify images of clothing, like sneakers and shirts, in this fast-paced overview of a complete TensorFlow program. Start with building and training a retrieval model to predict a set of movies that a user is likely to watch, and then use a ranking model to create recommendations. Train a generative adversarial network to generate images of handwritten digits, using the Keras Subclassing API.New America
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Helene Gayle and Dr. Atul Gawande as they discuss what has and hasn't worked during the initial phases of vaccine distribution. Recent Publications.
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