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Public facing deeplift repo

Results 43 deeplift issues
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Hello there, I have checked the notebook examples, such as the MNIST example. The test data set you feed into the CNN model is not normalised (it is still between...

I was trying to use DeepLIFT to analyse my text classification model but it will throw key error about embedding layers since there is no key about embedding in layer_name_to_conversion_function...

Hi Avanti, as far as I can tell from the README and Code, DeepLIFT does currently not support the ELU and tanh activations. Are there any plans to add these...

Hi Avanti, I modified how DeepLIFT handles model parameters. The current behaviour is to store them as numpy arrays. I converted them to tensorflow variables. This change resulted in a...

Hi Avanti, for my paper [[1]](https://arxiv.org/abs/1912.09818), I computed the cosine similarity using the values of `self._target_contrib_vars` as it includes both positive and negative contributions. However for the MaxPool2D, `self._target_contrib_vars` was...

Has anyone been able to successfully run on Tensorflow 2.0?

I am using a VGG16 model with "include_top=False" i.e. having Maxpool2D as its last layer. Is Maxpool2D as the target layer not possible or it is just not implemented?

Hey :) I'm trying to use kc.convert_model_from_saved_files but I have this keyerror : ``` File "C:\Users\XXXXXXX\Anaconda3\lib\site-packages\deeplift\conversion\kerasapi_conversion.py", line 349, in layer_name_to_conversion_function return name_dict[layer_name.lower()] KeyError: 'batchnormalizationv1' ``` The model is not complicated...

Hi, When applying deeplift over the dataset of "cats and dogs" with the same architecture as provided in Mnist examples. The difference in predictions is coming to be a non-zero...

Hi, I was trying to use DeepLIFT to interpret my CNN model. I don't know how to convert my model because I built a customized layer. My model is built...