train curv encoders with 10p and radius 10,25
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@@ -366,8 +366,8 @@ class ConvNeXtReverseLabels(tf.keras.Model):
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self.stages.append(stage)
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cur += depths[i]
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# self.last = Dense(nr_of_classes, activation='softmax')
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self.last = Dense(nr_of_classes - 1)
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self.last = Dense(nr_of_classes, activation='softmax')
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# self.last = Dense(nr_of_classes - 1)
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def call(self, x, training):
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for i in reversed(range(len(self.downsample_layers))):
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