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Application of Transfer Learning for Object Recognition Using Convolutional Neural Networks

  • Jesús Alfonso López Sotelo
  • Nicolás Díaz Salazar
  • Gustavo Andres Salazar GomezEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 833)

Abstract

In this work, the transfer learning technique is used to create a computational tool that recognizes the objects of the automation laboratory of the Universidad Autónoma 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.

Keywords

Transfer learning Softmax Inception-V3 Tensorflow Neural networks Convolutional neural network 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Jesús Alfonso López Sotelo
    • 1
  • Nicolás Díaz Salazar
    • 1
  • Gustavo Andres Salazar Gomez
    • 1
    Email author
  1. 1.Automation and Electronics DepartmentUniversidad Autónoma De OccidenteCaliColombia

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