| Summary: | 碩士 === 國立中央大學 === 數學系 === 107 === The purpose of this thesis is to explore the training resul ts of two deep learning models ：(1) Support Vector Machine ；(2) Softmax Classifier in image recognition, and study the influence of loss functions on the iterative parameters . We demonstrate the results of these two models by use of the image s of butterflies.
There are five types of butterflies with 8214 pictures obtained through the onlin e database website. We use these pictures for the files of data samples to two deep learning models, and observe the training time and accuracy. Next, we analyze the fitting situation to the itera tive results. Finally, we give the reason s why the performan ce of these two models are not ideal. Therefore, we are able to improve the performance by fixing the datasets .
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