An enhanced gated recurrent unit with auto-encoder for solving text classification problems
Classification has become an important task for categorizing documents automatically based on their respective groups. Gated Recurrent Unit (GRU) is a type of Recurrent Neural Networks (RNNs), and a deep learning algorithm that contains update gate and reset gate. It is considered as one of the m...
Saved in:
Main Author: | Zulqarnain, Muhammad |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/4928/1/24p%20MUHAMMAD%20ZULQARNAIN.pdf http://eprints.uthm.edu.my/4928/2/MUHAMMAD%20ZULQARNAIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4928/3/MUHAMMAD%20ZULQARNAIN%20WATERMARK.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Generic DNA encoding design scheme to solve combinatorial problems
by: Rofilde, Hasudungan
Published: (2015) -
An Enhanced Distribution Transforming Encoder (Dte) Of The Honey Encryption Scheme For Reinforcing Text-Based Encryption
by: Omolara, Abiodun Esther
Published: (2020) -
Enhancement of elman recurrent network learning with particle swarm optimization
by: Ab. Aziz, Mohamad Firdaus
Published: (2007) -
I-auto
by: Sapari, Noor Hidayah
Published: (2009) -
Enhanced genetic algorithm with simulated annealing in solving travelling salesman problem
by: Pang, Li Sim
Published: (2010)