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UPDNet-knee-af8

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corrected mode loading

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@@ -49,7 +49,7 @@ inputs = [
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  tf.zeros(kspace_size, dtype=tf.complex64), # smaps
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  ]
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  model(inputs)
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- model.load_weights('UPDNet-knee-af8/model_weights.h5')
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  ```
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  Using the model is then as simple as:
 
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  tf.zeros(kspace_size, dtype=tf.complex64), # smaps
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  ]
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  model(inputs)
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+ model.load_weights('model_weights.h5')
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  ```
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  Using the model is then as simple as: