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Python code optimization

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Layan
Nov 22, 2024
model = tf.keras.Sequential([ tf.keras.layers.Dense(32, activation='relu', input_shape=(2,)), # First hidden layer tf.keras.layers.Dense(16, activation='relu'), # Second hidden layer tf.keras.layers.Dense(1, activation='sigmoid') # Output layer ])
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