Application of transfer learning for object recognition using convolutional neural networks
Capítulo de libro
2018
Springer
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 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
Applications of Computational Intelligence First IEEE Colombian Conference, ColCACI 2018. Communications in Computer and Information Science 833
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