After exploring the dataset, it's time to build the deep neural network (DNN) model to labeling newswire from data recorded in the dataset. To build a model, we'll use the Keras Sequential model. Let's start importing the libraries:
from keras.models import Sequentialfrom keras.layers import Densefrom keras.layers import Dropoutfrom keras.layers import Activation
Four layer classes have been imported: Sequential, Dense, Dropout, and Activation. The sequential class is used to define a linear stack of network layers that make up a model. In the following, we'll use the Sequential constructor to create the model, which will then be enriched with layers using the add() method. The Dense class is used to instantiate ...
