DeepLearning
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Over fitting in Stacked Denoising Autoencoders
In the finetune phase, the whole dataset is used which will cause over fitting for the model... So, I think this can be solved by:
- divide the dataset into training, test & validation sets
- Or, using a k-fold cross validation
Very true, I also think separating the data into different sets, as you said, is the approach to go.