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keras-source's Introduction

Dive into Keras source code

This is a series of articles explaining the source code of Keras.

Learning goals

  • Understand the overall code structures.
  • Understand the mechanisms behind the core workflows, including modeling, training, and saving.
  • Understand the core concepts and classes in Keras and TensorFlow.
  • Understand the important TensorFlow API usages in Keras codebase.

Prerequisites

You should understand the basic usages of Keras by reading the following two tutorials.

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In keras code, we usually don't use executing_eagerly to do the check, since it will return false when code is in the body of tf.function (which is mostly the case). We use tf.compat.v1.executing_eagerly_outside_functions to the actual check of whether eager is enabled or not.

In keras code, we usually don't use executing_eagerly to do the check, since it will return false when code is in the body of tf.function (which is mostly the case). We use tf.compat.v1.executing_eagerly_outside_functions to the actual check of whether eager is enabled or not.

Originally posted by @qlzh727 in #1 (comment)

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