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.
This exercise is part of the course
Advanced Deep Learning with Keras
Exercise instructions
- Import the
Input
layer function fromkeras.layers
. - Create an input layer of shape 1.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import Input from tensorflow.keras.layers
____
# Create an input layer of shape 1
input_tensor = ____(shape=(____,))