Deep Learning & Neural Networks

Synopsis

This course AIB552 Deep Learning & Neural Networks aims to teach students essential knowledge of deep learning and artificial intelligence. Students can learn varied deep learning models, including convolutional neural networks, natural language processing, recommender system, and generative models. The emphasis of this course would be placed on practical skills with deep learning. Students can also learn the trends and ethics of deep learning. Finally, students will learn how to develop and implement suitable deep learning models to solve real-world business problems.

Level: 5
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

Introduction to Machine Learning
Introduction to Deep Learning and Neural Networks
Introduction to Python and Pytorch
Hands on Deep Learning Practice
Convolutional Neural Networks
Natural Language Processing
Explainable Machine Learning
Recommender System
Ethics of Artificial Intelligence
Generative Models
Deep Learning Applications for Business
Data Visualization and Analysis

Learning Outcome

Distinguish between machine learning and deep learning
Construct suitable deep learning models for business applications
Assess the trends of deep learning and artificial intelligence
Recommend deep learning models to solve business problems
Prepare high-dimensional datasets by Python and Pytorch
Evaluate the result of deep learning models

Part-time Programmes / CET Courses

Singapore University of Social Sciences

Deep Learning & Neural Networks