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Neural network visualization toolkit for keras

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This PR adds **saliency3D.py**, which implements a **3D** version of **visualize_cam()**. Usage is described in **example/3D_saliency_snippet.ipynb** A minor change in scipy/misc/pilutils.py is needed and is described in **vis/visualization/follow_this.txt**

- [x] Check that you are up-to-date with the master branch of keras-vis. You can update with: pip install git+git://github.com/raghakot/keras-vis.git --upgrade --no-deps - [x] If running on TensorFlow, check that...

Hi, I'm trying to use the activation maximization, but the optimizer's loss is nan after the third iteration. > Iteration: 1, named_losses: , overall loss: -0.044139932841062546 > Iteration: 2, named_losses:...

Keras, Tensorflow, keras-vis from pip I'm trying to visualize_activation_with_losses, however not from original model input. ``` pred_layer = model.layers[-1] target = out losses = [(MSE(pred_layer, target), 1)] # vis_layer =...

Hi, great package and examples. Thanks a lot for doing this. Currently, I am working with TimeDistributed multilabel output. How do we extend it to work on this?

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Hi, I tried to run attention.ipynb [here](https://github.com/raghakot/keras-vis/blob/72bb8df635f1f16384537ae4a79e2edd5653da8f/examples/vggnet/attention.ipynb) with Tensorflow backend. But it showed an error in the last section of the code saying that "ValueError: `array1` and `array2` must have...

when i try to import `from vis.modifiers import Jitteren` i got an import error: `ModuleNotFoundError: No module named 'vis.modifiers'` i install it through source

- [ ] Check that you are up-to-date with the master branch of keras-vis. You can update with: pip install git+git://github.com/raghakot/keras-vis.git --upgrade --no-deps - [ ] If running on TensorFlow,...

The intro demo in your readme doesn't work. 1) There is no module named modifications.. you have to do: from vis.input_modifiers import Jitter 2) VGG16 is not imported the way...

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