Please use this identifier to cite or link to this item: 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)

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