How to checkpoint by minibatch in Keras The 2019 Stack Overflow Developer Survey Results Are InDoes the time to train a model using keras increase linear with epoches?Keras Neural Network training is stuck (gets stuck around epoch 6)Keras Callback example for saving a model after every epoch?My Keras bidirectional LSTM model is giving terrible predictionsWhy model.fit_generator in keras is taking so much time even before picking the data?Understanding why my binary classification is approaching 50% accuracy using TensorFlow and KerasHow to train a multi inputs deep learning model using every combination of inputs?How to define a multi-dimensional neural network with kerasKeras: extreme spike in loss during trainingTensor input in keras model is array of tensors but won't agree to dimensions
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How to checkpoint by minibatch in Keras
The 2019 Stack Overflow Developer Survey Results Are InDoes the time to train a model using keras increase linear with epoches?Keras Neural Network training is stuck (gets stuck around epoch 6)Keras Callback example for saving a model after every epoch?My Keras bidirectional LSTM model is giving terrible predictionsWhy model.fit_generator in keras is taking so much time even before picking the data?Understanding why my binary classification is approaching 50% accuracy using TensorFlow and KerasHow to train a multi inputs deep learning model using every combination of inputs?How to define a multi-dimensional neural network with kerasKeras: extreme spike in loss during trainingTensor input in keras model is array of tensors but won't agree to dimensions
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I know that I can use ModelCheckpoint in Keras for checkpointing a model every epoch (or every few epochs, depending on what I want).
I am getting my data for each minibatch from a fit_generator, and it takes a very long time to evaluate each minibatch. I'd like to be able to checkpoint by minibatch instead of by epoch. How can I do this in Keras?
keras
asked Mar 30 at 1:32
StatsSorceressStatsSorceress
1,1253724
$endgroup$
add a comment |
$begingroup$
I know that I can use ModelCheckpoint in Keras for checkpointing a model every epoch (or every few epochs, depending on what I want).
I am getting my data for each minibatch from a fit_generator, and it takes a very long time to evaluate each minibatch. I'd like to be able to checkpoint by minibatch instead of by epoch. How can I do this in Keras?
keras
asked Mar 30 at 1:32
StatsSorceressStatsSorceress
1,1253724
$endgroup$
add a comment |
$begingroup$
I know that I can use ModelCheckpoint in Keras for checkpointing a model every epoch (or every few epochs, depending on what I want).
I am getting my data for each minibatch from a fit_generator, and it takes a very long time to evaluate each minibatch. I'd like to be able to checkpoint by minibatch instead of by epoch. How can I do this in Keras?
keras
asked Mar 30 at 1:32
StatsSorceressStatsSorceress
1,1253724
$endgroup$
I know that I can use ModelCheckpoint in Keras for checkpointing a model every epoch (or every few epochs, depending on what I want).
I am getting my data for each minibatch from a fit_generator, and it takes a very long time to evaluate each minibatch. I'd like to be able to checkpoint by minibatch instead of by epoch. How can I do this in Keras?
keras
keras
asked Mar 30 at 1:32
StatsSorceressStatsSorceress
1,1253724
asked Mar 30 at 1:32
StatsSorceressStatsSorceress
1,1253724
asked Mar 30 at 1:32
StatsSorceressStatsSorceress
1,1253724
asked Mar 30 at 1:32
StatsSorceressStatsSorceress
1,1253724
asked Mar 30 at 1:32
StatsSorceressStatsSorceress
1,1253724
1,1253724
add a comment |
add a comment |
1 Answer
1
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oldest
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$begingroup$
You have to write a custom callback for this. Steps are :
Subclass ModelCheckpoint (https://github.com/keras-team/keras/blob/master/keras/callbacks.py) or create new one if you do not need filename pattern etc.
Add method that would be called at the end of each batch
class BatchModelCheckpoint(keras.callbacks.Callback):
def on_batch_end(self, batch, logs=None):
self.model.save(filepath, overwrite=True)
answered Mar 30 at 8:19
Shamit VermaShamit Verma
1,5191314
$endgroup$
add a comment |
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1 Answer
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1 Answer
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$begingroup$
You have to write a custom callback for this. Steps are :
Subclass ModelCheckpoint (https://github.com/keras-team/keras/blob/master/keras/callbacks.py) or create new one if you do not need filename pattern etc.
Add method that would be called at the end of each batch
class BatchModelCheckpoint(keras.callbacks.Callback):
def on_batch_end(self, batch, logs=None):
self.model.save(filepath, overwrite=True)
answered Mar 30 at 8:19
Shamit VermaShamit Verma
1,5191314
$endgroup$
add a comment |
$begingroup$
You have to write a custom callback for this. Steps are :
Subclass ModelCheckpoint (https://github.com/keras-team/keras/blob/master/keras/callbacks.py) or create new one if you do not need filename pattern etc.
Add method that would be called at the end of each batch
class BatchModelCheckpoint(keras.callbacks.Callback):
def on_batch_end(self, batch, logs=None):
self.model.save(filepath, overwrite=True)
answered Mar 30 at 8:19
Shamit VermaShamit Verma
1,5191314
$endgroup$
add a comment |
$begingroup$
You have to write a custom callback for this. Steps are :
Subclass ModelCheckpoint (https://github.com/keras-team/keras/blob/master/keras/callbacks.py) or create new one if you do not need filename pattern etc.
Add method that would be called at the end of each batch
class BatchModelCheckpoint(keras.callbacks.Callback):
def on_batch_end(self, batch, logs=None):
self.model.save(filepath, overwrite=True)
answered Mar 30 at 8:19
Shamit VermaShamit Verma
1,5191314
$endgroup$
You have to write a custom callback for this. Steps are :
Subclass ModelCheckpoint (https://github.com/keras-team/keras/blob/master/keras/callbacks.py) or create new one if you do not need filename pattern etc.
Add method that would be called at the end of each batch
class BatchModelCheckpoint(keras.callbacks.Callback):
def on_batch_end(self, batch, logs=None):
self.model.save(filepath, overwrite=True)
answered Mar 30 at 8:19
Shamit VermaShamit Verma
1,5191314
answered Mar 30 at 8:19
Shamit VermaShamit Verma
1,5191314
answered Mar 30 at 8:19
Shamit VermaShamit Verma
1,5191314
answered Mar 30 at 8:19
Shamit VermaShamit Verma
1,5191314
1,5191314
add a comment |
add a comment |
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