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added docs page
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@@ -107,13 +107,15 @@ def load_model_specific(self, checkpoint):
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self.load_state_dict(checkpoint['state_dict'])
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```
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- Log all details of your experiment (model params, code snapshot, etc...)
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```python
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from test_tube import Experiment
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exp = Experiment(...)
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Trainer(experiment=exp)
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```
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5. Learning rate annealing.
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6. Can train complex models like GANs or anything with multiple optimizers.
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7. Weight checkpointing.
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8. Model saving.
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9. Model loading.
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10. Log training details (through test-tube).
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11. Run training on multiple GPUs (through test-tube).
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12. Run training on a GPU cluster managed by SLURM (through test-tube).
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