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Update README.md

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@ -84,6 +84,23 @@ def validation_end(self, outputs):
tqdm_dic = {'val_loss': val_loss_mean.item(), 'val_acc': val_acc_mean.item()} tqdm_dic = {'val_loss': val_loss_mean.item(), 'val_acc': val_acc_mean.item()}
return tqdm_dic return tqdm_dic
``` ```
## TensorboardX
All lightning experiments log in a nicely structured folder structure compatible with tensorboardX. Simply run the following command to view your experiments.
Simply note the path you set for the Experiment
``` {.python}
from test_tube import Experiment
from pytorch-lightning import Trainer
exp = Experiment(save_dir='/some/path')
trainer = Trainer(experiment=exp)
...
```
```bash
tensorboard --logdir /some/path
```
## Lightning gives you options to control the following: ## Lightning gives you options to control the following: