tf.keras.Sequential( [
tf.keras.layers.Conv2D(filters=32, kernel_size=(5,5), activation=tf.nn.leaky_relu, input_shape=(192,192,1)),
tf.keras.layers.MaxPool2D(pool_size=(2,2), strides=(2,2)),
tf.keras.layers.Conv2D(filters=32, kernel_size=(3,3), activation=tf.nn.leaky_relu),
tf.keras.layers.MaxPool2D(pool_size=(2,2), strides=(2,2)),
tf.keras.layers.Conv2D(filters=64, kernel_size=(3,3), activation=tf.nn.leaky_relu),
tf.keras.layers.MaxPool2D(pool_size=(2,2), strides=(2,2)),
tf.keras.layers.Conv2D(filters=128, kernel_size=(3,3), activation=tf.nn.leaky_relu),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(units=128, activation=tf.nn.leaky_relu),
tf.keras.layers.Dense(units=64, activation=tf.nn.leaky_relu),
tf.keras.layers.Dense(units=2, activation=tf.nn.softmax)
])
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