TensorFlow

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  • The API...
    • tf.estimator available alongside the newer Keras high-level API.
    • tf.function a wrapper to use when writing certain functions in Python
    • tf.Transform includes converting between formats, tokenizing and stemming text and forming vocabularies
  • Related...

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TensorFlow focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs, and flexible model building on any platform, tight Keras integration. You can easily ingest datasets via tf.data pipelines, and you can monitor your training in TensorBoard directly from Colaboratory and Jupyter Notebooks. TensorFlow 2.0 and Google Cloud AI make it easy to train, deploy, and maintain scalable machine learning models | Paige Bailey and Barrett Williams - Google

GPU

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tf.function

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Eager Execution (Default in 2.0) =

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tf.data - TF Input Pipeline

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tf.distribute

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mesh-TensorFlow

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TensorFlow Probability

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Reinforcement Learning with TF-Agents

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Examples


Tensorflow for Practice Specialization