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obeshor/discriminator_model.py

Last active November 13, 2020 13:14
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discriminator_model.py
def discriminator_model():
model = tf.keras.Sequential()
model.add(layers.Conv2D(128, (5, 5), strides=(2, 2), padding='same', input_shape=[32, 32, 3]))
model.add(layers.LeakyReLU())
model.add(layers.Conv2D(256, (5, 5), strides=(2, 2), padding='same'))
model.add(layers.BatchNormalization())
model.add(layers.LeakyReLU())
model.add(layers.Conv2D(512, (5, 5), strides=(2, 2), padding='same'))
model.add(layers.BatchNormalization())
model.add(layers.LeakyReLU())
model.add(layers.Flatten())
model.add(layers.Dense(1,activation='sigmoid'))
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