Deep learning architecture analysis with mapper
In recent years, we have seen the rise of deep learning models such as convolutional neural networks (CNN) for image classification. However, we do not understand what makes these networks able to achieve such outstanding performance. Upon building a neural network, we can only see the input and out...
Main Author: | Foo, Kelvin Moo Chen |
---|---|
Other Authors: | Xia Kelin |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/166418 |
Similar Items
-
Topology based machine learning model for the prediction of anticancer peptides
by: Tan, Joshua Zhi En
Published: (2022) -
Topological data analysis helps to improve accuracy of deep learning models for fake news detection trained on very small training sets
by: Deng, Ran, et al.
Published: (2023) -
Surface braid groups
by: Loh, Jessica Sher En
Published: (2019) -
A conjecture for the eigenvalues of pseudo-Anosov mappings of surfaces
by: Aravinth, Krishnan Ravi
Published: (2022) -
Deep learning in healthcare with improved architecture and representation learning
by: Khonstantine, Gilbert
Published: (2020)