mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-06-05 03:21:13 -05:00
4a9131f8c4
- Removed 01_setup module (archived to archive/setup_module) - Renumbered all modules: tensor is now 01, activations is 02, etc. - Added tito setup command for environment setup and package installation - Added numeric shortcuts: tito 01, tito 02, etc. for quick module access - Fixed view command to find dev files correctly - Updated module dependencies and references - Improved user experience: immediate ML learning instead of boring setup
31 lines
562 B
YAML
31 lines
562 B
YAML
components:
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- MeanSquaredError
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- CrossEntropyLoss
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- BinaryCrossEntropyLoss
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- Accuracy
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- Trainer
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dependencies:
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enables:
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- compression
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- kernels
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- benchmarking
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- mlops
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prerequisites:
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- tensor
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- activations
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- layers
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- networks
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- dataloader
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- autograd
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- optimizers
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description: Neural network training loops, loss functions, and metrics
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difficulty: "\u2B50\u2B50\u2B50\u2B50"
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exports_to: tinytorch.core.training
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files:
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dev_file: training_dev.py
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readme: README.md
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tests: inline
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name: training
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time_estimate: 8-10 hours
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title: Training
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