Dummy network with resnet like architecture.
()
| 111 | |
| 112 | |
| 113 | def sam_32_32(): |
| 114 | """ |
| 115 | Dummy network with resnet like architecture. |
| 116 | """ |
| 117 | input_img = tf.keras.layers.Input(shape=(32, 32, 3)) |
| 118 | x = tf.keras.layers.Conv2D(filters=12, kernel_size=(3, 3))(input_img) |
| 119 | x = tf.keras.layers.ReLU()(x) |
| 120 | x = tf.keras.layers.Conv2D(filters=24, kernel_size=(3, 3))(x) |
| 121 | x = tf.keras.layers.ReLU()(x) |
| 122 | x = identity_block_plain(x) |
| 123 | x = identity_block_plain(x) |
| 124 | x = identity_block_short_conv_plain(x) |
| 125 | x = tf.keras.layers.MaxPooling2D(pool_size=(2, 2))(x) |
| 126 | x = tf.keras.layers.Flatten()(x) |
| 127 | x = tf.keras.layers.Dense(100)(x) |
| 128 | x = tf.keras.layers.ReLU()(x) |
| 129 | x = tf.keras.layers.Dense(10)(x) |
| 130 | return tf.keras.Model(input_img, x, name="Sam") |
| 131 | |
| 132 | |
| 133 | ############################################## |