Deep Learning Projects Using TensorFlow 2 by Vinita Silaparasetty

Author:Vinita Silaparasetty
Language: eng
Format: epub
ISBN: 9781484258026
Publisher: Apress

This is how the summary of the generator should appear.

Next, structure the discriminator of the GAN using the create_discriminator() function .def create_discriminator():

discriminator=tf.keras.models.Sequential()

discriminator.add(InputLayer(input_shape=(50,50,3)))

discriminator.add(Conv2D(10, (2, 2), activation="tanh", padding="same", strides=2))

discriminator.add(layers.Dense(units=100))

discriminator.add(layers.LeakyReLU(0.2))

discriminator.add(layers.Dropout(0.3))

discriminator.add(Conv2D(10, (3, 3), activation="tanh", padding="same", strides=2))

discriminator.add(layers.Dense(units=50))

discriminator.add(layers.LeakyReLU(0.2))

discriminator.add(layers.Dropout(0.3))

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