Investigation of transfer learning for image classification and impact on training sample size
Recent developments in deep learning have brought huge breakthroughs in the image
processing area, which triggered numerous successful applications and positively impacted
the current big data context of Industry 4.0. On the other hand, it is widely known that large
amounts of training data are required to train a deep learning model with millions of
parameters, which limits its application in many industrial applications where sufficient data
resources are lacking. Transfer learning is one of the practical solutions to reduce the data …
processing area, which triggered numerous successful applications and positively impacted
the current big data context of Industry 4.0. On the other hand, it is widely known that large
amounts of training data are required to train a deep learning model with millions of
parameters, which limits its application in many industrial applications where sufficient data
resources are lacking. Transfer learning is one of the practical solutions to reduce the data …
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