Development of learning algorithms for fully connect layers of convolutional neural network
In the field of transfer learning, pre-trained weights are usually used in the Convolutional Layers to get the features of the data and Fully Connected Layers are trained again for another classification task based on new training data. Inspired by the ideas of transfer learning and kinematic con...
Saved in:
Main Author: | Wang, Yiming |
---|---|
Other Authors: | CHEAH Chien Chern |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/143189 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Masked face recognition using convolutional neural network
by: Wu, Peihang
Published: (2023) -
Graph convolutional neural networks for text categorization
by: Lakhotia, Suyash
Published: (2018) -
Graph convolutional neural networks for the travelling salesman problem
by: Joshi, Chaitanya Krishna
Published: (2019) -
Complex-valued neural networks and their learning algorithms
by: Savitha Ramasamy.
Published: (2011) -
Reinforcement learning based algorithm design for mobile robot static obstacle avoidance
by: Li, Zongrui
Published: (2021)