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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.169.4046&rep=rep1&type=pdf
Prerequisite for #6 and #7
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Firstly, thank you for the great work!
As the paper mentioned `The maximum frequency b is known as the bandwidth, and is related to the
resolution of the spatial grid (Kostelec and Rockmore, 2007)…
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Hello, on the cnn head pose estimation in deepgze, I found no face detection module during the test. Is the network model trained on face detection? At the same time, this project will continue to be …
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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Hi,
```
Recently, I used the scripts on the sample data. But there is an error as follow:
```
![11111111](https://cloud.githubusercontent.com/assets/8369046/16711176/ac066238-467f-11e6-95d2-85925fd9…
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Hello,
I'm wondering if the first order approximation of algorithm Chebyshev ( Weisfeiler-Lehman ) allows the convolutional features to learn rotation invariants of graphs ?
Thank you
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I have seen this use case a few times in the issues here, but can't quite seem to get it working:
Simply, I have a dataset of pairs of co-occurring indices, and want to learn embeddings for them base…
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# Dense Prediction API Design, Including Segmentation and Fully Convolutional Networks
This issue is to develop an API design for dense prediction tasks such as Segmentation, which includes Fully C…
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Dear @kenshohara,
Thank you very much for your fantastic repository. Do you have any pretrained model on Sports1M?