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Can I use callbacks in train_on_batch ?

See original GitHub issue

@fchollet As we all know, Keras provide a callbacks interface in model.fit() function. However, it requires loading the training dataset into memory previously. When I use train_on_batch( ), I didn’t find out where I can put my callbacks (e.g. EarlyStopping, History, etc.). Any suggestions ?

Issue Analytics

State:
Created 8 years ago
Reactions:11
Comments:10 (1 by maintainers)

Top GitHub Comments

45reactions

naotokuicommented, Feb 6, 2017

what about TensorBoard callback? Are there any way to use TensorBoard with train_on_batch()?

37reactions

fcholletcommented, Aug 6, 2015

Clearly if you are training on each batch from inside your own script, then the notion of per-batch or per-epoch callback is not longer relevant. You are free to do whatever you want between batches or between epochs: it’s your own code.

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