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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 Kamnitsask.
I used your software available at https://github.com/Kamnitsask/deepmedic. In this regard, I trained BRATS 2015 and ISLES 2015. I evaluated the BRATS Testing 2015 and SISS Testing …
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Hi
Dear Mr. Kamnitsas
thanks for your great work and support. Now I studied your high quality papers "DeepMedic for Brain Tumor Segmentation" and "Efficient Multi-Scale 3D CNN with Fully Connected …
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### System information
- **Have I written custom code (as opposed to using a stock example script provided in TensorFlow)**: No
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: Windows…
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## Description
I have a toy dataset of 360 samples with 4096 data points each, leading to a tensor of shape `(4096,1,360)`. Hence, each observation has a size of ~ 4 kB. The CNN is very simple: `Co…
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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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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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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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If you are contributing to the AMP Project open source community, please use this issue to provide updates regarding the status of the projects you are responsible for and what you will be working on …
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I'd like to use keras to build a 1D convolutional net with pooling layers on some textual input, but I can't figure out the right input format and the right number of incoming connections above the fl…