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I am trying to use keras to define my own custom policy, unfortunately after several hours of trying I couldn't get it to train on CartPole.
Here is the `CustomPolicy` example I have modified to wo…
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In keras or tensorflow, LSTM or RNN support masking which uses a mask value to skip timesteps. This is commonly used in some state-of-the-art models such as keras-bert. So we may need support masking …
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Hi,
I wanted to check if the Windows 10 installation was successful using the train.py script that came with the package.
Here are the messages and the error:
\keras-gcn-master\kegra>python t…
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How do I test this in a realtime video?
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**Short Description**
Single-Image Super-Resolution describes the domain of enhancing image resolution for single images (as opposed to groups of images of a scene, for example). Solutions in this do…
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Currently there are two implementations of Multi-head attention. The one in use at the moment can be found in `astronet.t2.attention.py` with the other found in `astronet.t2.multihead_attention.py`
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For now, the agent does not seem to learn anything, or at least not the right thing
The loss is non-zero and the weights vary after each training pass, but the policy seems to be the same (i.e. ran…
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**Short Description**
**MoViNets: Mobile Video Networks for Efficient Video Recognition**
Mobile Video Networks (MoViNets) are efficient video classification models **runnable on mobile devices*…
innat updated
8 months ago
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I think that there is a wrong implementation of focal loss in regard of label smoothing.
Here is the current implementation
https://github.com/keras-team/keras-cv/blob/35b9f9534fc193e00b4fa850963a…
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**Short Description**
Any possibility of getting Cross Attention Control support added for Stable Diffusion as seen implemented as per the repo linked below on the PyTorch side?
https://github.com/b…