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In the network architecture of discriminator: tf.keras.layers.Dense(units=1, activation="sigmoid"),
You don't need any activation function for discriminator, since you are using Wasserstein Loss. Using sigmoid here would greatly limit your convergeance speed.
The text was updated successfully, but these errors were encountered:
In the network architecture of discriminator:
tf.keras.layers.Dense(units=1, activation="sigmoid"),
You don't need any activation function for discriminator, since you are using Wasserstein Loss. Using sigmoid here would greatly limit your convergeance speed.
The text was updated successfully, but these errors were encountered: