Neural Networks with Keras Cookbook

Building our first model in Keras

In this section, let's understand the process of building a model in Keras by using the same toy dataset that we worked on in the previous sections (the code file is available as Neural_networks_multiple_layers.ipynb in GitHub):

1. Instantiate a model that can be called sequentially to add further layers on top of it. The Sequential method enables us to perform the model initialization exercise:

from keras.models import Sequentialmodel = Sequential()

2. Add a dense layer to the model. A dense layer ensures the connection between various layers in a model. In the following code, we are connecting the input layer to the hidden layer:

model.add(Dense(3, activation='relu', input_shape=(1,)))

In the dense layer ...