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sdcubber/keras_sequential.py

Last active September 15, 2018 09:05
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keras_sequential.py
from keras import models
from keras import layers
network = models.Sequential()
network.add(layers.Dense(512, activation='relu', input_shape=(28 * 28, )))
network.add(layers.Dense(256, activation='relu'))
network.add(...)
network.add(layers.Dense(10, activation='softmax'))
network.compile(optimizer='sgd', loss='categorical_crossentropy', metrics=['accuracy'])
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