torch.utils.data
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torch.utils.data has 6 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
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isImportOfIs Import of(1)
- Torch Utils Data Import
ex:torch-utils-data-import
Other facts (4)
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Python Submodule | [1] |
| Rdf:type | Py Torch Submodule | [2] |
| Rdf:type | Python Module | [3] |
| Imported in | Example Implementation | [3] |
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References (3)
ctx:claims/beam/56ec773d-331c-4612-b327-318a1a96426f- full textbeam-chunktext/plain1 KB
doc:beam/56ec773d-331c-4612-b327-318a1a96426fShow excerpt
```python import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader, TensorDataset # Example data preparation inputs = torch.randn(3000, 128) # Example input data labels = torch.randn(3000, 1) …
ctx:claims/beam/1b131faa-d5dd-4a50-a073-62fc1d139327- full textbeam-chunktext/plain1 KB
doc:beam/1b131faa-d5dd-4a50-a073-62fc1d139327Show excerpt
- Use gradient clipping to prevent exploding gradients. - Use learning rate scheduling to adaptively adjust the learning rate. 4. **Evaluation and Monitoring** - Implement validation and test loops to monitor performance. - Use…
ctx:claims/beam/0a6354af-a6f7-4051-8cb3-e50345232784
See also
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