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Is it possible to add support for models created with tf.keras instead of keras?
Otherwise, do you know of a similar tool with such support?
Thanks
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**how to predict the class probability? when I set the output to arcface output (softmax) w.r.t number of class, I got an error when run this model = Model(inputs=model.input[0], outputs=model.layers[…
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Hi,
I am trying to use your toolkit in Google Colaboratory starting from the example [Attention on ResNet50 (Saliency and grad-CAM)](https://github.com/raghakot/keras-vis/blob/master/examples/resnet/…
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Can you show me the code the visualize the result after training like the loss, val_loss or accuracy?
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**Lecture Courses**
http://www.robots.ox.ac.uk/~az/lectures/
https://www.gaussianwaves.com/2013/11/simulation-and-analysis-of-white-noise-in-matlab/
https://github.com/oxford-cs-deepnlp-2017
http…
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I get this error using the DeepExplainer while trying to get the shap values for the Keras model as defined [here](https://github.com/ZeonTrevor/MatchZoo/blob/245957a38f16af97a11434bf1091fbcb3a6cba22/…
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Will this repo be the place where multiple reinforcement learning algorithms (q-learning, A3C, ...) be implemented for Keras?
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### Motivation
The Optuna's unit tests raise many warnings, which make it hard to recognize unexpected warning messages.
### Description
We can filter expected warnings using `@pytest.mark.filterwa…
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Hello, I have problem with using Attentions visualization (GradCam++ in that case). I have preprocessing layer in my model, which rescales images like that: `layers.Rescaling(1./255, input_shape=(cons…
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I want to visualize the tree to look how it stimulate the NN , just like the picture in img folder. But the source code seems to do not have this function ? what should I do?