Keras Plugins
Project description
# keras-plugins
## Callbacks
### Telegram Callback
Notify levels available:
1) on_train_begin,
2) on_train_end,
3) on_batch_begin,
4) on_batch_end,
5) on_epoch_begin,
6) on_epoch_end
##### How to use
```python
import callbacks
notify = {
'on_batch_end':True,
'on_epoch_end':True
}
telegram = callbacks.TelegramNotify(<token>, <chat_id>, msg=msg, notify=notify)
model.fit(X_train, Y_train, validation_data=[X_test, Y_test], batch_size=256, epochs=10, callbacks=[telegram])
```
## Coming Soon
1) Slack Notifier
2) Ability to stop training remotely
3) Simple Keras Server
## Callbacks
### Telegram Callback
Notify levels available:
1) on_train_begin,
2) on_train_end,
3) on_batch_begin,
4) on_batch_end,
5) on_epoch_begin,
6) on_epoch_end
##### How to use
```python
import callbacks
notify = {
'on_batch_end':True,
'on_epoch_end':True
}
telegram = callbacks.TelegramNotify(<token>, <chat_id>, msg=msg, notify=notify)
model.fit(X_train, Y_train, validation_data=[X_test, Y_test], batch_size=256, epochs=10, callbacks=[telegram])
```
## Coming Soon
1) Slack Notifier
2) Ability to stop training remotely
3) Simple Keras Server
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