Cancelout
CancelOut is a layer for deep neural networks, that can help identify a subset of relevant input features for streaming or static data.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Streamingcnn | 92 | a year ago | 1 | mit | Jupyter Notebook | |||||
| To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory. | ||||||||||
| Cancelout | 11 | 3 years ago | mit | Jupyter Notebook | ||||||
| CancelOut is a layer for deep neural networks, that can help identify a subset of relevant input features for streaming or static data. | ||||||||||
| Statestream | 10 | 5 years ago | other | Python | ||||||
| A toolbox to explore synchronous layerwise-parallel deep neural networks. | ||||||||||
| Thunder Streaming | 5 | 9 years ago | apache-2.0 | Python | ||||||
| Streaming analysis of large-scale spatial temporal neural data | ||||||||||
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