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I'm trying deepdream_visualization on ssdlite_mobilenet_v2_coco model by modifying the tf_cnnvis_Example3.ipynb. I have set the input layer to FeatureExtractor/MobilenetV2/MobilenetV2/input and visualisation layer to import/FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1
Given these layers, deepdream_visualization generated uninterpretable image as shown below
I'm not sure if I have chosen the correct layers for input and visualization. Any pointers on this would be very useful
Thanks
The text was updated successfully, but these errors were encountered:
I was able to figure out the correct input and output layers using tools/graph_transforms:summarize_graph from tensorflow docs. I'm currently stuck with issue #26
Hi @endeepak
Sorry for the late reply. Thanks to your model, we were able to figure out the cause for the NoneType error in issue #26. It occurs when one of the layers/ operations in the model does not have a gradient defined for it. In this case, forward pass and hence activation visualization would work fine but back propagation or de convolution would not work and hence gives the NoneType error.
I'm trying
deepdream_visualization
on ssdlite_mobilenet_v2_coco model by modifying the tf_cnnvis_Example3.ipynb. I have set the input layer toFeatureExtractor/MobilenetV2/MobilenetV2/input
and visualisation layer toimport/FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1
Given these layers,
deepdream_visualization
generated uninterpretable image as shown belowI'm not sure if I have chosen the correct layers for input and visualization. Any pointers on this would be very useful
Thanks
The text was updated successfully, but these errors were encountered: