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Neural network visualization toolkit for keras

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Thanks for your great work! I want to visualize the grad-CAM figure for my 3D data image. However, I met some problem at this line: ` grads = visualize_cam(model, layer_idx,...

The input model (including weights) and image are exactly the same, but visualize_saliency showed different results. (1). Use "pip install keras-vis" to install today >>> mapp = visualize_saliency(model, -1, 0,...

Traceback (most recent call last): File "", line 2, in seed_input=vid_frames, backprop_modifier='guided') File "C:\Users\Administrator\Anaconda3\envs\tf_gpu\lib\site-packages\vis\visualization\saliency.py", line 120, in visualize_saliency model = modifier_fn(model) File "C:\Users\Administrator\Anaconda3\envs\tf_gpu\lib\site-packages\vis\backprop_modifiers.py", line 17, in guided return backend.modify_model_backprop(model, 'guided')...

The error I encountered is quite weird, I am trying to use keras_vis to visualize the feature maps in a YOLO_v3 model implemented by Keras. But the `utils.apply_modifications` can't work...

Hi, I am trying to use a 3d cnn in keras for classification and I am trying to visualize my network. Here is my network: My model consists of 5...

From master, I modified the `activation_maximization.ipynb` notebook to replace `VGG16` with `InceptionV3`. Basically, I only changed the model instantiation to: ``` from keras.applications.inception_v3 import InceptionV3 model = InceptionV3(include_top=True, weights='imagenet', input_shape=(299,...

help wanted

From https://github.com/raghakot/keras-vis/issues/38#issuecomment-311859428: > `visualize_xxx now has a regression and class variant separated out.` However, nothing like this is in vis/visualization/activation_maximization.py, and in https://github.com/raghakot/keras-vis/blob/668b0e11dab93f3487f23c17e07f40554a8939e9/vis/visualization/saliency.py#L54-L55 it is only referred to, but not...

I feel like [this](https://github.com/raghakot/keras-vis/blob/668b0e11dab93f3487f23c17e07f40554a8939e9/vis/visualization/saliency.py#L188) makes more sense as `np.minimum`? Based on the comment above and the results it produces. An example can be seen below. Negative gradients are removed with...

Currently visualize_cam and visualize_saliency assume models follow the standard `keras.backend.image_data_format()` which leaves the function unusable with models which aren't using this. See [saliency.py L174](https://github.com/raghakot/keras-vis/blob/master/vis/visualization/saliency.py#L174) for an example of usage here....

Hi everyone, And thanks for this wonderfull tool. I am using it to better understand the different ways to interpret a CNN :) So I was wondering, for Class Activation...