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45edacc | 1 2 3 4 5 6 7 8 9 10 11 12 13 | import numpy as np
import keras
random_uniform_data = np.random.uniform(0, 1, (2, 2))
print (random_uniform_data.shape)
model = keras.Sequential([
keras.layers.Flatten(input_shape=(28, 28)),
keras.layers.Dense(128, activation='relu'), # Hidden layer with ReLU activation
keras.layers.Dense(64, activation='relu'), # Additional hidden layer
keras.layers.Dense(10, activation='softmax')
])
print (model.summary()) |