December 2018
Intermediate to advanced
318 pages
8h 28m
English
Finally, we will use deep learning to solve the issue and look for the accuracy of the results. We will take advantage of the keras package to use the Sequential and Dense models, and the KerasClassifier packages, as shown in the following code:
from keras.models import Sequentialfrom keras.layers import Densefrom keras.wrappers.scikit_learn import KerasClassifier
We change our function to have multiple hidden layers in our network:
def network_builder(hidden_dimensions, input_dim): # create model model = Sequential() model.add(Dense(hidden_dimensions[0], input_dim=input_dim, kernel_initializer='normal', activation='relu')) # add multiple hidden layers for dimension in hidden_dimensions[1:]: model.add(Dense(dimension, kernel_initializer='normal', ...
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