Complete Guide to Making Deep Learning Models Generalize Better
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Turing
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Frequently Asked Questions
How can you improve the generalization of a deep learning model?
Generalization of deep learning models can be improved by defining proper validation datasets and implementing data augmentation, regularization, and early stopping in the deep learning/machine learning model training loop.
How do you make a deep learning model more accurate?
Here are some tips to make a deep learning model more accurate:
Collect abundant data.
Include more layers to the model.
Choose a common image size.
Increase epochs.
Reduce color channels.
How can overfitting of deep learning models be prevented?
Overfitting in deep learning models can be prevented by simplifying the data, using data augmentation, dropouts, regularization, early stopping, and other techniques.