(name=None, conv1_name="conv1", conv2_name="conv2")
| 15 | |
| 16 | |
| 17 | def basic_static_model(name=None, conv1_name="conv1", conv2_name="conv2"): |
| 18 | ni = Input((None, 24, 24, 3)) |
| 19 | nn = Conv2d(16, (5, 5), (1, 1), padding='SAME', act=tf.nn.relu, name=conv1_name)(ni) |
| 20 | nn = MaxPool2d((3, 3), (2, 2), padding='SAME', name='pool1')(nn) |
| 21 | |
| 22 | nn = Conv2d(16, (5, 5), (1, 1), padding='SAME', act=tf.nn.relu, name=conv2_name)(nn) |
| 23 | nn = MaxPool2d((3, 3), (2, 2), padding='SAME', name='pool2')(nn) |
| 24 | |
| 25 | M = Model(inputs=ni, outputs=nn, name=name) |
| 26 | return M |
| 27 | |
| 28 | |
| 29 | def nested_static_model(name=None, inner_model_name=None): |
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