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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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As for the **Feature map reduction** mentioned in the article[1], I did not find it in your code or keras_tcn. So I have a problem with adding this layer, which is where to add it:
About whether "F…
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Hi,
I was wondering if you had encountered convergence issues when training an point autoencoder with EMD as loss function. I find that using a strictly convolutional decoder (instead of dense lay…
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According to the paper "Greedy Layer-Wise Training of Deep Networks", 2006, each layer of the autoencoder should be trained greedily in a purely unsupervised way.
To simply put,
- trained one la…
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> Convolutional neural networks (CNN) have been successfully used to handle three-dimensional data and are a natural match for data with spatial structure such as 3D molecular structures. However, a d…
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Here is the list of tutorials that were removed from the website for not meeting the quality bar. These tutorials should be improved, reviewed and committed.
- [How do I work with MXNet within a Ma…
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Hello and thank you for your work of the Project!
I'm trying to quantize the Encoder Stage of a Convolutional Autoencoder with AutoQKeras. My goal is to reduce the number of bits in those Layers. N…
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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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IEEE pages: https://ieeexplore.ieee.org/document/9046288
IEEE pages for Concordia: https://ieeexplore-ieee-org.lib-ezproxy.concordia.ca/document/9046288
PDF: https://ieeexplore-ieee-org.lib-ezproxy.co…
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# Problem
I'm trying to import an ONNX model of a convolutional autoencoder into CNTK using the C# API that was built and trained in PyTorch. Upon loading the model with `CNTK.Function.Load("...pat…