CS_ALearn/ailearning
1
0
Fork 0
mirror of https://github.com/apachecn/ailearning.git synced 2026-05-04 02:25:10 +08:00
Code Issues Projects Releases Wiki Activity

2020-12-29 18:56:14

Browse Source
This commit is contained in:
wizardforcel
2020-12-29 18:56:15 +08:00
parent 86a3892422
commit 6ae3ae8bb1
38 changed files with 64 additions and 64 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
docs/tf2/010.md
View File

@@ -502,7 +502,7 @@ Text(0.5, 0, 'Epochs [Log Scale]')
![png](img/4c173dbd57644fa57c04cf1d62ca75e4.png)
<aside class="note">**Note:** All the above training runs used the [`callbacks.EarlyStopping`](https://tensorflow.google.cn/api_docs/python/tf/keras/callbacks/EarlyStopping) to end the training once it was clear the model was not making progress.</aside>
**Note:** All the above training runs used the [`callbacks.EarlyStopping`](https://tensorflow.google.cn/api_docs/python/tf/keras/callbacks/EarlyStopping) to end the training once it was clear the model was not making progress.
### View in TensorBoard
@@ -534,14 +534,14 @@ display.IFrame(
If you want to share TensorBoard results you can upload the logs to [TensorBoard.dev](https://tensorboard.dev/) by copying the following into a code-cell.
<aside class="note">**Note:** This step requires a Google account.</aside>
**Note:** This step requires a Google account.
```
tensorboard dev upload --logdir {logdir}/sizes
```
<aside class="caution">**Caution:** This command does not terminate. It's designed to continuously upload the results of long-running experiments. Once your data is uploaded you need to stop it using the "interrupt execution" option in your notebook tool.</aside>
**Caution:** This command does not terminate. It's designed to continuously upload the results of long-running experiments. Once your data is uploaded you need to stop it using the "interrupt execution" option in your notebook tool.
## Strategies to prevent overfitting