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Update README.md
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README.md

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@@ -24,13 +24,13 @@ LR = 0.003
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mixed_precision = False
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```
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Next, build the **DOLG** model with **EfficientNetB5**.
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Next, build the **DOLG** model with **EfficientNetB5**. By default, EfficientNet will be used to build up the DOLGNet.
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```python
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from config import IMG_SIZE, CHANNELS
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from model.DOLG import DOLGNet
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model = DOLGNet ...
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model = DOLGNet(Classifier=NUM_CLASSES)
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print(model(tf.ones((1, IMG_SIZE, IMG_SIZE, CHANNELS)))[0].shape)
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display(tf.keras.utils.plot_model(model.build_graph(),

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