Reuse of a Deep Learning model for the recognition of handwritten digits
Keywords:
Transfer learning, Model reuse, Machine learning, Numerical digit recognitionAbstract
Machine Learning (ML) techniques have advanced significantly in the solution of various problems, which has led to a wide diffusion in its use and development. Currently there are different models that have reached a high level of performance, which raises the question of what to do when we take a problem for which there is already a very efficient model. This situation has long prompted research and development of different techniques to reuse these models, instead of undertaking the design, implementation, and training of a new one, with all the effort that this entails. In this paper, a classification problem is presented and the reuse of a convolutional neural network for the purpose of handwritten number recognition is proposed. The performance of the reused model has also been evaluated.
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Copyright (c) 2023 Mauro José Pacchiotti, Luciana Ballejos, Mariel Ale
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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