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in the quiver code `quiver_engine/imagenet_uitls.py`:
```
x[:, :, :, 0] -= 103.939
x[:, :, :, 1] -= 116.779
x[:, :, :, 2] -= 123.68
# 'RGB'->'BGR'
x = x[:, :, :, ::-1]
```
in keras `keras/appl…
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Hi @patrickorlando,
I asked another question yesterday in [https://github.com/tensorflow/recommenders/issues/618]
As I mentioned in the previous issue, I'm trying to create a sequential ranking mo…
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See https://machinelearningmastery.com/how-to-make-classification-and-regression-predictions-for-deep-learning-models-in-keras/ and https://machinelearningmastery.com/save-load-keras-deep-learning-mod…
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Hi, could you please precise the version of keras and tf used ? At least to be able to use the code for the predictions. I have several issues while running it and have tried several versions of tf an…
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Hi Ben,
I recently discovered your tool for computer resource prediction, Tesseract. I'm interested in implementing it for my work, but I noticed that some dependencies are not up to date. For inst…
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Hello, Thanks for the excellent repo you have put together. We are working on a 3D binary segmentation task for detecting lesions in spinal cord MRI images. we have a situation of class imbalance with…
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## Gold Price Prediction
### Project Overview
This project aims to predict the price of gold using various machine learning models. The project includes data exploration, feature engi…
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Hello @rdisipio
Thank you a lot for the work.
I am trying to reproduce your work with the VQC.
First, training and val accuracy did not enhance during training. After adapting the learning rate…
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Is there a way in R-keras to generate CAMs or Saliency Maps for one-dimensional input (e.g. a vector) as described for example for the "keras-vis" package for python?: https://github.com/raghakot/kera…
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Yarin Gal's thesis demonstrated that by allowing dropout during prediction, not just training, a set predictions can be produced and then analyzed to reveal model uncertainty (the quantiles of the pre…