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_Let's use this issue to collect some ideas to improve our performance._
* **Post-training vector removal**: After training is completed, there might be some vectors in the embedding space which ar…
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Hi,
I'm trying to improve results on CIFAR. I see you already have some potential improvements in mind. Could you help me understand what you mean by "Improve results on cifar - nearest neighbor s…
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I'm trying to train VQ-VAE with my dataset.
I want to know about how long it will take (ex. your great audio samples).
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**Describe the feature and the current behavior/state.**
layers are super fun to write and use and can be quite powerful
**Relevant information**
- Are you willing to contribute it (yes/no): yes
…
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Currently, `keras_model_custom()` doesn't seem to fully support the [model subclassing API](https://www.tensorflow.org/guide/keras#model_subclassing), in the sense that it only accommodates a forward …
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Thanks for this clear notebook example, I have one question regarding construction of the quantized image:
In the paper, it was mentioned that we could use 'prior' like PixelCNN to model the constr…
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Hi,
Do you plan subj?
thanks
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Hi, that's nice work!
But it seems the result got little improvement after trainning for 13x of time.
How was the loss in trainng and how was the variance of output changing?
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Hi,
I try to understand why this block is applied after the vq?
If it will be applied before what will happen?
My aim is to have the representation of more high level features.
local_co…
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Have you experimented with adding BatchNorm, Dropout or Residual Blocks to the Encoder?
Even though, they did not mention it in the audio part of the paper, they added Residual Blocks to the encod…