July 2018
Intermediate to advanced
474 pages
13h 37m
English
This section walks through the following steps to apply a deep learning model, using Keras on our dataset:
from keras.models import Sequentialfrom keras.layers import Dense, Activation
model = Sequential()model.add(Dense(32, activation='relu', input_dim=xtrain_array.shape[1]))model.add(Dense(10, activation='relu'))model.add(Dense(ytrain_OHE.shape[1], activation='softmax'))model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
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