Understanding Image Classification Using TensorFlow Deep Learning - Convolution Neural Network
2019 ◽
Vol 3
(2)
◽
pp. 19-37
Keyword(s):
This article describes how to establish the neural network technique for various image groupings in a convolution neural network (CNN) training. In addition, it also suggests initial classification results using CNN learning characteristics and classification of images from different categories. To determine the correct architecture, we explore a transfer learning technique, called Fine-Tuning of Deep Learning Technology, a dataset used to provide solutions for individually classified image-classes.
2021 ◽
2019 ◽
Vol 8
(12S)
◽
pp. 835-843
2020 ◽
Vol 937
◽
pp. 012053
Keyword(s):
Keyword(s):
2021 ◽
Vol 2129
(1)
◽
pp. 012083
Keyword(s):
Keyword(s):
2020 ◽
Vol 9
(2)
◽
pp. 769-972