Questions tagged [early-stopping]
The early-stopping tag has no usage guidance.
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Keras EarlyStopping callback: Why would I ever set restore_best_weights=False?
The point of EarlyStopping is to stop training at a point where validation loss (or some other metric) does not improve.
If I have set ...
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0answers
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Can we used both cross validation/nested cross validation technique and early stopping with patient at the same time?
Can we use both cross validation/nested cross validation technique and early stopping with patient at the same time? Using early stopping for each (training, validation) fold and get best result of ...
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14 views
TF Estimator stop when overfitting?
With TF 1.x is there a way to stop training, when evaluation loss starts increasing?
Or is there another way to detect overlearning?
I know about the stop_if_no_decrease_hook, but it doesn't consider ...
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1answer
36 views
-1
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1answer
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Can the use of EarlyStopping() offset overfitting problems caused by validation_split?
Keras gives users the option, while fitting a model, to split the data into train/test samples using the parameter "validation_split.
Example:
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1
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1answer
33 views
EarlyStopping based on the loss
When training my CNN model, based on the random initialization of weights, i get the prediction results. In other words, with the same training and test data i get different results every time when i ...
1
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1answer
52 views
Daily new data for my neural network, and I want transfer(?) learning
I made my neural network, it is pre-trained for 180 days of data.
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7
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2answers
2k views
What is the proper way to use early stopping with cross-validation?
I am not sure what is the proper way to use early stopping with cross-validation for a gradient boosting algorithm. For a simple train/valid split, we can use the valid dataset as the evaluation ...
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1answer
1k views
Keras Early Stopping: Monitor 'loss' or 'val_loss'?
I often use "early stopping" when I train neural nets, e.g. in Keras:
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