Joel Wong f6b8b175bb Update Docs for current checkpointing behaviour (#445) ...

Related issue #432

The old documentation suggested that the way to restore a training session is to use a test_tube Experiment. Trainer no longer takes an experiment as a parameter, so it seems the current way to restore a training session is to pass an experiment via a TestTubeLogger. Even if this is not the most elegant solution, updating the docs will at least point new users in the right direction.

2019-10-31 06:40:32 -04:00

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Checkpointing.md

Update Docs for current checkpointing behaviour (#445)

2019-10-31 06:40:32 -04:00

debugging.md

Param printing (#336)

2019-10-08 15:30:06 -04:00

Distributed training.md

parse_gpu_ids fix (#382)

2019-10-23 05:05:09 -04:00

hooks.md

Back hook (#424)

2019-10-24 07:56:56 -04:00

index.md

Fixed link to trainer.py github code (#386)

2019-10-18 15:36:33 +02:00

Logging.md

Logger consistency (#397)

2019-10-22 04:51:17 +03:00

SLURM Managed Cluster.md

updated docs

2019-09-16 11:07:16 -04:00

Testing loop.md

testing loop docs

2019-09-02 07:15:45 -04:00

Training Loop.md

Fixes #347 (#393)

2019-10-19 00:51:48 +02:00

Validation loop.md

Fixed val interval (#405)

2019-10-22 05:10:00 +03:00