Hands-on Image Recognition with CNN
碩士 === 元智大學 === 資訊管理學系 === 107 === Human beings are visualizers. The amount of information received from the visuals accounts for about 60% of all our senses. In the process of developing artificial intelligence, we train that machines what see the world, understand the world and use images recognit...
Main Authors: | Yu-Ru Shen, 沈渝茹 |
---|---|
Other Authors: | Yi-Chuan Lu |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/f7b527 |
Similar Items
-
Plant Image Recognition with CNN and Re-classification
by: Yi-Hsuan Chen, et al.
Published: (2018) -
Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals
by: Lin Chen, et al.
Published: (2020-01-01) -
Recognition of Plasma Discharge Patterns Based on CNN and Visible Images
by: Yong Yang, et al.
Published: (2021-01-01) -
Multi-Scale CNN for Fine-Grained Image Recognition
by: Chee Sun Won
Published: (2020-01-01) -
Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules
by: Ilia Korvigo, et al.
Published: (2018-05-01)