Introduction
Explore the model execution process in TensorFlow by learning how to train, evaluate, and make predictions with classification and regression models. Understand how to build multilayer perceptron networks, save and restore models during lengthy training, and track key metrics to ensure efficient and reliable model development for industry applications.
We'll cover the following...
In this section you will be learning about the model execution process in TensorFlow. This involves model training, evaluation, and making predictions. The techniques and APIs introduced in the upcoming chapters are used by top industry professionals to easily create organized and efficient machine learning models.
The first model you create is going to be a classification model. Classification models take ...