Application of Transfer Learning for Object Recognition Using Convolutional Neural Networks

被引：0

作者：

Diaz Salazar, Nicolas ^{[1
]}

Lopez Sotelo, Jesus Alfonso ^{[1
]}

Salazar Gomez, Gustavo Andres ^{[1
]}

机构：

[1] Univ Autonoma Occidente, Dept Automat & Elect, Cali, Colombia

来源：

2018 IEEE 1ST COLOMBIAN CONFERENCE ON APPLICATIONS IN COMPUTATIONAL INTELLIGENCE (COLCACI) | 2018年

关键词：

Transfer learning; Softmax; Inception-V3; Tensorflow; Neural Networks; Convolutional neural network;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this work the transfer learning technique is used to create a computational tool that recognizes the objects of the automatic laboratory of the Universidad Autonoma de Occidente in real time. As a pre-trained neural net, the Inception-V3 is used as a feature extractor in the images and on the other hand a softmax classifier is trained, this contains the classes that are going to be recognized. It was used Tensorflow platform with gpu in Python natively in Windows 10 and Opencv library for the use of video camera and other tools.

引用

页数：6