Broad learning vs. deep learning
In recent years, deep learning has been used in many kinds of industrial fields and saw dramatic breakthroughs. Many projects have been applied in real life, such as face recognition, natural language processing. Training deep learning models requires high levels of computer hardware and training pr...
Saved in:
Main Author: | Gu, Haowei |
---|---|
Other Authors: | Wang Lipo |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/152974 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Broad learning vs. deep learning
by: Toh, Jun Wen
Published: (2020) -
Adaptive deep few-shot learning
by: Gu, Rong
Published: (2023) -
Explainable machine learning and deep learning
by: Liao, Zhongtian
Published: (2023) -
Visual recognition using deep learning (video captioning using deep learning)
by: Thong, Jing Lin
Published: (2021) -
Visual recognition using deep learning (traffic detection using deep learning)
by: Chen, Sheng
Published: (2021)