Introduction to Deep Learning (IDL)

Introduction to Deep Learning (IDL)

Deep learning is an emerging field under data analytics. It can be applied to many different industries such as healthcare, finance and engineering. Therefore, it is a very useful and practical skill for executives, managers, professionals and researchers. Learners can utilize the knowledge picked up from this short course to come up with better solutions to solve real-world problems that might be related to business decisions, mathematical or scientific research, topics related to social sciences, etc.

Deep learning is a powerful machine learning tool for artifical intelligence and data sciences, with a wide range of real-world applications. This course aims at introducing basic concepts, numerical algorithms, and computing frameworks in deep learning. The emphasis is on the numerical algorithms, implementation in industrial computing framework, and examination on real data-intensive problems drawn from practical applications. At the end of this course, participants will acquire the basic understanding on the fundamentation of deep learning, master the most often used computational tools, and be able to use them to solve practical problems. Major topics include: Basics on learning theory, clustering, supervised learning, deep neural network, programming in python, tensor flow.

    Brochure

Participants should possess some knowledge in calculus and linear algebra at entry university level.

A total of 16 hours of lecture and 4 hours of practical work (in computing lab) would be taught over 5 days.

(This is a non-credit-bearing short course)

Course duration: 5 days

Lecture 16 – 19 November 2020                 9am – 11am & 2pm – 4pm
Practical 20 November 2020 9am – 11am & 2pm – 4pm

Venue would be announced nearer the start date.

  • Data Analysts
  • Big Data Consultants
  • Advertising Analysts
  • Customer Insights Analysts
  • Data engineers
  • Data managers
  • Marketing analysts
  • Product managers
  • Chief Technology Officer
  • Chief Information Officer
  • Chief Digital Officer
Fees International Participants Singapore Citizens Singapore PRs Enhanced Training Support for SMEs
39 years old or younger 40 years old or older
Full Programme Fee

$2,400.00

$2,400.00

$2,400.00

$2,400.00

$2,400.00

Less: SSG Grant Amount

$0.00

$1,680.00

$1,680.00

$1,680.00

$1,680.00

Nett Programme Fee

$2,400.00

$720.00

$720.00

$720.00

$720.00

7% GST on Nett Programme Fee

$168.00

$50.40

$50.40

$50.40

$50.40

Total Nett Programme Fee Payable, Including GST

$2,568.00

$770.40

$770.40

$770.40

$770.40

Less Additional Funding if Eligible Under Various Schemes

$0.00

$0.00

$480.00

$0.00

$480.00

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

$2,568.00

$770.40

$290.40

$770.40

$290.40

Funding Schemes:

  1. SkillsFuture Mid-Career Enhanced Subsidy (MCES)
    • Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
  2. Enhanced Training Support for SMEs (ETSS)

 

Each participant is eligible for only one funding scheme.

For enquiries, please write to Ms Jenny YIP or call +65-6601 3592

Registration close on 1st October 2020

Register