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Using Convolutional Neural Networks and Transfer Learning To Perform Yelp Restaurant Photo Classification PDF

9 Pages·2018·English
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by ['carlpiao']| 2018| 9 pages| English

About Using Convolutional Neural Networks and Transfer Learning To Perform Yelp Restaurant Photo Classification

This document discusses using convolutional neural networks and transfer learning to perform image classification on photos from Yelp restaurant listings. Specifically, it aims to predict 9 attributes for each restaurant based on user-uploaded photos. It explores using a pre-trained VGGNet model with transfer learning, as well as a multiple instance learning approach. The best model achieved a mean F1 score of 0.618 on the classification task, an improvement over the baseline scores mentioned. The document provides background on relevant techniques like CNNs, transfer learning, and multiple instance learning.

Detailed Information

Author:['carlpiao']
Publication Year:2018
Pages:9
Language:English
Format:PDF
Price:FREE
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