Deep Learning

Asynchronous Methods for Deep Reinforcement Learning
Paper-reading presentation for the Reinforcement Learning topic of the MEng Advanced Topics in Machine Learning module.
11 Feb 2022 3:00 PM — 4:00 PM Computer Laboratory, University of Cambridge
Xiangyu Zhao
Asynchronous Methods for Deep Reinforcement Learning
Function Autoencoders: A Neural Network Approach to Gaussian Processes
MEng Probabilistic Machine Learning Investigative Project.
Xiangyu Zhao
19 Jan 2022
Function Autoencoders: A Neural Network Approach to Gaussian Processes
MEng Probabilistic Machine Learning Investigative Project.
Xiangyu Zhao
A Neural Network Approach to Named Entity Recognition on Noisy User-Generated Texts
MEng Natural Language Processing Final Assignment.
Xiangyu Zhao
3 Dec 2021
A Neural Network Approach to Named Entity Recognition on Noisy User-Generated Texts
MEng Natural Language Processing Final Assignment.
Xiangyu Zhao
Deep Reinforcement Learning for Mahjong
Bachelor’s Dissertation supervised by Dr Sean Holden – We present Meowjong, an AI for 3-player Mahjong (Sanma) using deep reinforcement learning, with an informative and compact 2-dimensional data structure for encoding the observable information in a Sanma game.
Xiangyu Zhao, Sean B. Holden
14 May 2021
Deep Reinforcement Learning for Mahjong
Bachelor’s Dissertation supervised by Dr Sean Holden – We present Meowjong, an AI for 3-player Mahjong (Sanma) using deep reinforcement learning, with an informative and compact 2-dimensional data structure for encoding the observable information in a Sanma game.
Xiangyu Zhao, Sean B. Holden
Investigating Adversarial Examples for Deep Residual Networks
Undergraduate Third Year Deep Neural Networks Mini-Project.
Xiangyu Zhao
19 Mar 2021
Investigating Adversarial Examples for Deep Residual Networks
Undergraduate Third Year Deep Neural Networks Mini-Project.
Xiangyu Zhao
Analysing Clickstream Data for Online Shopping
Undergraduate Third Year Data Science Final Practical.
Xiangyu Zhao
3 Dec 2020