Technical Workshop Series - Introduction to Neural Networks for Deep Learning (2nd Offering) by: Michael

Thursday, July 18, 2024 - 10:00

Technical Workshop Series

Introduction to Neural Networks for Deep Learning (2nd Offering)

 

Presenter:  Xiaofeng Liu (Michael)

Date: Thursday, July 18th,2024

Time: 10:00 AM

Location: 4th Floor at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)

 

Abstract: 

Reinforcement learning (RL) is training machine learning models to make a sequence of decisions. Q-learning is a type of RL with a model-free environment which achieves learning by interaction with the environment instead of transition probabilities. However, Q-learning has its limitations on state and action space. This workshop will introduce the principle of neural networks and deep learning/deep Q-learning, which help solve more complicated problems.

 

Workshop Outline:

  • What is deep learning?
  • Basic of Neural Networks.
  • Neural Network Architecture
  • How NNs learn?
  • Training DNN
  • What is Deep Q-learning?
  • Q&A

 

Prerequisites:

Principles of RL.

 

Biography: 

Xiaofeng is a PhD Candidate in Computer Science. His research interests mainly focus on Congestion Control for V2V communication in VANET (Vehicular Ad hoc Network).

 

MAC STUDENTS ONLY - Register here

Reminder: Workshops marked as 1st Offering and 2nd Offering mean the exact same workshop is running at two different times - DO NOT REGISTER FOR BOTH. Students will not get points for attending the same workshop twice.