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Advanced Machine Learning: Deep Learning

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Harness and apply deep learning techniques in a variety of business settings
Date
TBA
Duration
1 Day
Overview

The application of machine learning is deepening and widening in the world of business and technology. Among different machine learning algorithms, deep learning stands out. Since its introduction in 2006, deep learning has fulfilled some of the oldest artificial intelligence promises, such as autonomous/driverless vehicles, machine translation, precise and speaker-independent speech recognition, and robust visual object recognition. Deep learning systems have even beaten the human experts in their field and achieved remarkable performances.

In this course, we will address the what, why and how of deep learning. What is deep learning? Why do we need deep learning? And how do we apply and harness the benefits of deep learning in business cases? We will focus on the three popular deep learning algorithms, namely Convolutional Neural Networks (CNN), Long/Short Term Memories (LSTM), and Generative Adversarial Networks (GAN), and their applications. The methods and platforms for implementation and evaluation of deep learning systems would be discussed. Furthermore, learners will practise employing deep learning to deal with a few applied examples using Python and Octave environments.

Course Objectives

At the end of the course, participants will be able to:
• Articulate an efficient procedure of implementation and evaluation of deep learning models.
• Understand the basic definitions and applications of CNN, LSTM, and GAN.
• Define the business case for a deep learning approach.
• Demonstrate an understanding of the practical aspects of deep learning, its platforms and tools.
• Solve authentic business problems with deep learning models.

Who Should Attend

IT Engineers, IT Consultants, IT Managers, Technology Managers, Business Managers

Prerequisites

Basic knowledge of machine learning and Python programming

Course Fee

Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
39 years old or younger 40 years old or older
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$337.05 S$127.05 S$337.05 S$127.05 S$1,123.50

To enquire, email soc-ace@nus.edu.sg

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Instructor

(Click their names to view their short biographies)

Dr Amirhassan Monajemi

Dr Edmund Low

*Course Fee Breakdown

Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
39 years old or younger 40 years old or older
Full Programme Fee S$1,050.00 S$1,050.00 S$1,050.00 S$1,050.00 S$1,050.00
Less: SSG Grant Amount (S$735.00) (S$735.00) (S$735.00) (S$735.00)
Nett Programme Fee S$315.00 S$315.00 S$315.00 S$315.00 S$1,050.00
7% GST on Nett Programme Fee S$22.05 S$22.05 S$22.05 S$22.05 S$73.50
Total Nett Programme Fee Payable, Including GST S$337.05 S$337.05 S$337.05 S$337.05 S$1,123.50
Less Additional Funding if Eligible Under Various Schemes (S$210.00) (S$210.00)
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$337.05 S$127.05 S$337.05 S$127.05 S$1,123.50