Hands-On Machine Learning on Google Cloud Platform

Implementing a simple neural network in Keras

From the preceding discussion, we have seen that the key components in a neural network are:

• Hidden layers
• Activation in a hidden layer
• Loss function

Along with these, there are a few other key components in a neural network. However, we will learn about them in a later section.

For now, we will build a neural network model with the given toy dataset in Keras, with the knowledge we've gained in the sections so far:

Import the relevant functions:

The sequential model is a linear stack of layers (input, hidden, and output).

Within each layer, dense helps in implementing the operations specified ...