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.
active 2023-09-08 → 2025-03-14 (UTC)
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Line chart, 554 days from 2023-09-08 to 2025-03-14. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 7 total, peak 1 in a day.
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| Contributor | Contributions | Pushes | PRs | Comments |
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| stephandooper | 1 | 0 | 1 | 0 |
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