Exercise

Input layers

The first step in creating a neural network model is to define the Input layer. This layer takes in raw data, usually in the form of numpy arrays. The shape of the Input layer defines how many variables your neural network will use. For example, if the input data has 10 columns, you define an Input layer with a shape of (10,).

In this case, you are only using one input in your network.

Instructions

100 XP

Import the Input layer function from keras.layers.
Create an input layer of shape 1.