Boosting knowledge distillation and interpretability
Deep Neural Network (DNN) can be applied in many fields to predict classification and can obtain high accuracy. However, Deep Neural Network is a black box, which means that it’s hard to explain how the Deep Neural Network can derive specific classification directly. The generally accepted interpret...
Saved in:
Main Author: | Song, Huan |
---|---|
Other Authors: | Ponnuthurai Nagaratnam Suganthan |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/150315 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Principled asymmetric boosting approaches to rapid training and classification in face detection
by: Pham, Minh Tri
Published: (2009) -
Interpreting models for video action recognition
by: Daniel Wijaya
Published: (2021) -
Complex pattern recognition and evaluation : a knowledge-based approach to computer chess
by: Ravindra Lal Weeraratne Koggalage
Published: (2008) -
Speaker recognition system
by: Song, Liyan.
Published: (2012) -
Hand gesture recognition using RF-sensing
by: Tan, Sheng Rong
Published: (2021)