Falak

We have activation visualization already as part of the functionalities. If you mean for CNNs having 3d inputs as in videos - it would be a cool add on, but...

It would indeed be a cool new application. This should work, although we haven't run this case explicily. The activation maps would be saved as individual grayscale frames in png...

If you installed using `python setup.py install` it'll show up in `pip freeze` and not as a conda package. Probably try running things outside of conda environment

Hi @MaxChu719 Deepdream originally was for visualizing how the network views distinct categories. That is why we had kept it for the last layer. It can of course be extended...

Sure. Maybe not immediately. But as soon as we have some spare time. If there are any immediate takers, please leave a comment here and send a PR when you're...

We'll start work on this, but could take some time among other projects.

You could run the experiment in batches. Using a large batch size would be useful here to speed up the computations. We haven't experimented extensively with this, but the outputs...

Hi @kitovyj We are working on this. We'll roll out a version where you should be able to insert multiple images simultaneously. You are right - we revisited the code...

Here is how we have currently compute deconvolution: For each layer for which we want the deconvolution output, we have 1 forward pass. Then, we have 8 parallel backward passes...

If you look at https://github.com/tensorflow/models/blob/master/tutorials/image/cifar10/cifar10.py - it has images and labels already defined. You will need to find the exact name of the input tensor from the graph and then...