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Transfer Learning for Alzheimer by Ivan Markic is a document available to read on EtoBox.

What is Transfer Learning for Alzheimer about?

he transfer learning approach to the development of deep learning (DL) models accelerates the solving of the set task. It also allows solving tasks when large data sets required for extracting non-linear mapping functions are not available. This approach can even reduce the need for large computer resources. This paper contains a case study that shows how easily and quickly it is possible to build a DL model on sparse data using a transfer learning approach

Author

Ivan Markic

Language

EN