Questions tagged [early-stopping]
The early-stopping tag has no usage guidance.
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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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1answer
30 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
41 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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0answers
114 views
cross validation with early stopping
I am evaluating the performance of my deep learning model.
My model is using an early stopping technic and I would like to do 5-fold cross-validation.
Would below be the correct performance evaluation?...
7
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2answers
1k 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 ...
3
votes
1answer
929 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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