Keras Pipeline

import numpy as np
import tensorflow as tf
from tensorflow import keras

介绍

• How to prepare you data before training a model (by turning it into either NumPy arrays or tf.data.Dataset objects).
• How to do data preprocessing, for instance feature normalization or vocabulary indexing.
• How to build a model that turns your data into useful predictions, using the Keras Functional API.
• How to train your model with the built-in Keras fit() method, while being mindful of checkpointing, metrics monitoring, and fault tolerance.
• How to evaluate your model on a test data and how to use it for inference on new data.
• How to customize what fit() does, for instance to build a GAN.
• How to speed up training by leveraging multiple GPUs.
• How to refine your model through hyperparameter tuning.