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# Define the CNN model | |
model = tf.keras.models.Sequential([ | |
tf.keras.layers.Conv2D(32, (3, 3), activation='relu', input_shape=(image_width, image_height, channels)), | |
tf.keras.layers.MaxPooling2D((2, 2)), | |
tf.keras.layers.Conv2D(64, (3, 3), activation='relu'), | |
tf.keras.layers.MaxPooling2D((2, 2)), | |
tf.keras.layers.Flatten(), | |
tf.keras.layers.Dense(64, activation='relu'), | |
tf.keras.layers.Dense(num_classes, activation='softmax') | |
]) |
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