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https://hdl.handle.net/10356/148514| Title: | Predictive and generative neural networks | Authors: | Chan, Keefe | Keywords: | Science::Mathematics | Issue Date: | 2021 | Publisher: | Nanyang Technological University | Source: | Chan, K. (2021). Predictive and generative neural networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148514 | Abstract: | Machine learning applications based on neural networks have been flourishing over the years. In this report, we explore how to generate and predict random variables using neural networks, starting from well known methods, namely the inverse transform method and maximum likelihood techniques, then evolving towards scenarios where the need of predictive and generative neural networks arises | URI: | https://hdl.handle.net/10356/148514 | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | SPMS Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| MH4900 FYP Report_Keefe_Chan_U1740862L_280421.pdf Restricted Access | Generative and Predictive Neural Networks | 1.2 MB | Adobe PDF | View/Open |
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