May 16, 2018 • 5 mins
High-level APIs like tf.keras enable developers to train models easily and effectively. This session will introduce these APIs, and notebooks you can run live in the browser to get started using Colab. We'll walk you through writing your first neural network in TensorFlow using just 10 lines of code with tf.keras, and then will introduce you to Eager execution. We'll close with educational resources you can use to learn more about ML. By releasing easier and more intuitive APIs, we hope to make TensorFlow an open source machine learning framework more accessible for all.
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