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Hi,
Your code is pretty good. But I have a question. The paper mentions that the convolutional layers are inspired by Winner-Take-All autoencoders. I tried by myself to add WTA autoencoder to the…
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http://doi.org/10.18632/oncotarget.14073
> Recent advances in deep learning and specifically in generative adversarial networks have demonstrated surprising results in generating new images and vid…
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If I want to train an unconditional ldm on my custom dataset(without any condition), is it the following steps?
1. Train a VQGAN on custom dataset to get a well-trained autoencoder.
…
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Training fails? @bubbliiiing
```
Steps: 100%|██████████████████████████████████████████████████████████| 315/315 [5:58:58
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This corresponds to the encoder-decoder of the approach of time series forecasting (See #1 )
![image](https://github.mit.edu/storage/user/26647/files/cba7cf36-375a-44b9-82f4-c57193b2a96b)
Althou…
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I'm having trouble running your code and am getting the following error.
Any thoughts of what might be wrong?
Thanks.
```
$python main.py
....
Extracting MNIST_data/train-images-idx3-ubyte.gz
…
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This *may* not be the best framework for it, but it would be a good exercise to see how it looks compared to competing frameworks, e.g. Keras, Edward.
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@dustinvtran Hi Dustin,
How hard do you think it is to implement the following models in Edwards using the Tensorflow backend?
- Hierarchical variational models
- [Variational Recurrent Neural…
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Hi,
May I update the auto encoder model with the following models: https://github.com/rickwierenga/notebooks/blob/master/autoencoders.ipynb (in Swift, of course) ? The proposed models are more exte…
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Hello,
I'm quite new to these topics, and I would like to ask—Is there any description of what exactly these 100 features used in the Latent space vector represent? I tried using both the client an…