Skip to content

Latest commit

 

History

History
32 lines (16 loc) · 898 Bytes

Chapter5.md

File metadata and controls

32 lines (16 loc) · 898 Bytes

Chapter 5: Mid-level API in TensorFlow

Mid-level API in TensorFlow includes:

  • Data pipeline (tf.data)

  • Feature column (tf.feature_column)

  • Activation function (tf.nn)

  • Model layer (tf.keras.layers)

  • Loss function (tf.keras.losses)

  • Evaluation function (tf.keras.metrics)

  • Optimizer (tf.keras.optimizers)

  • Callback function (tf.keras.callbacks)

If we compare a model to a house, then these fourth level APIs are the walls.

Please leave comments in the WeChat official account "Python与算法之美" (Elegance of Python and Algorithms) if you want to communicate with the author about the content. The author will try best to reply given the limited time available.

You are also welcomed to join the group chat with the other readers through replying 加群 (join group) in the WeChat official account.

image.png