DreamNet

• The purpose of the repository is to visualize what the layers in the Convolutional Network see when we amplify the activation in the neurons

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DreamNet working

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• For understanding DreamNet in detail see the jupyter notebook

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Results

• Monalisa: mixed0 to mixed10

  

• Sky: act30 and mixed3

  

• Scenery:

  

Ablations

• Without clipping the gradients, the images are disrupted

  

• Not normalizing the gradients doesn't affect the resultant image, therefore you should normalize the gradients to see the results

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Further Inspection which can be done

• The following repo was created using the Inception Model pre-trained on Imagenet which contains many classes
• Will update this repo to include results by different pre-trained Models, and then finetuned on different tasks like dog classification,...

References

• Inceptionism: Going Deeper into Neural Networks