Student Work
Investigation of Artificial Intelligence Algorithms
Public DepositedContenu téléchargeable
open in viewerTwo of the earliest forms of generative machine learning algorithms are Generative Adversarial Networks (GAN) and Variational Autoencoders (VAE). Despite being developed at approximately the same time, their functionality and structure are markedly different. This project aims to compare these two networks when trained on two different datasets and analyze the differences in their output and runtime in reference to their structure.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Subject
- Publisher
- Identifier
- 123883
- E-project-080824-204855
- Advisor
- Year
- 2024
- UN Sustainable Development Goals
- Date created
- 2024-08-08
- Resource type
- Major
- Source
- E-project-080824-204855
- Rights statement
- Dernière modification
- 2024-09-19
Relations
- Dans Collection:
Contenu
Articles
La vignette | Titre | Visibilité | Embargo Release Date | actes |
---|---|---|---|---|
MQP_AI_Investigations_Report.pdf | Public | Télécharger | ||
Network_Code.zip | Public | Télécharger |
Permanent link to this page: https://digital.wpi.edu/show/s7526h83z