Image and video based emotion recognition using deep learning /
Emotion recognition utilizing pictures, videos, or speech as input is considered an intriguing issue in the research field over certain years. The introduction of deep learning procedures like the Convolutional Neural Networks (CNN) has made emotion recognition achieve promising outcomes. Since hum...
Saved in:
Main Author: | Arselan Ashraf (Author) |
---|---|
Format: | Thesis |
Language: | English |
Published: |
Kuala Lumpur :
Kulliyah of Engineering,International Islamic University Malaysia,
2021
|
Subjects: | |
Online Access: | http://studentrepo.iium.edu.my/handle/123456789/10766 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A deep learning framework for the defection of source code plagiarism using Siamese network and embedding models /
by: Manahi, Mohammed S.M
Published: (2021) -
Speech-based depression recognition for Bahasa Malaysia speakers using deep learning models /
by: Ezzi, Mugahed Al Ezzi Ahmed
Published: (2021) -
Deep learning-based breast cancer detection and classification using histopathology images /
by: Murtaza, Ghulam
Published: (2021) -
Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
by: Mohamed Anuar, Mohamed Marzhar
Published: (2022) -
A study and enhancements of reinforcement learning methods /
by: Lee, Chin Yew
Published: (1998)