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CNNs-interpretation-visualization

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taquynhnga commited on Mar 1, 2023

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208f37c

1 Parent(s): 1ce9f56

Update pages/1_Maximally_activating_patches.py

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pages/1_Maximally_activating_patches.py CHANGED Viewed

@@ -15,7 +15,7 @@ st.set_page_config(layout='wide')
 st.title('Maximally activating image patches')
-st.write('> What patterns maximally activate this channel in ConvNeXt model?')
 st.write("""The maximally activating image patches method is a technique used in visualizing the interpretation of convolutional neural networks.
 It works by identifying the regions of the input image that activate a particular neuron in the convolutional layer,
 thus revealing the features that the neuron is detecting. To achieve this, the method generates image patches then feeds into the model while monitoring the neuron's activation.

 st.title('Maximally activating image patches')
+st.write('> **What patterns maximally activate this channel in ConvNeXt model?**')
 st.write("""The maximally activating image patches method is a technique used in visualizing the interpretation of convolutional neural networks.
 It works by identifying the regions of the input image that activate a particular neuron in the convolutional layer,
 thus revealing the features that the neuron is detecting. To achieve this, the method generates image patches then feeds into the model while monitoring the neuron's activation.