About Course
Course Structure
Financial Matters
About Course
Course Objectives
Learners will be able to:1) Understand how Artificial Neural Networks and Multi-layer Neural Networks works.
2) Understand how deep learning models are used for image recognition
3) Using popular libraries and framework to design and develop a deep learning model to address a problem statement
Course Description
This course introduces Artificial Neural Networks and multi-layer neural networks, and the necessary python libraries and frameworks to design and build a simple deep learning model.The course covers the following:
• Artificial Neural Networks
• Multi-layer Neural Networks
• Tensorflow and PyTorch
Course Structure
TPG course reference No.
TGS-2021006417
Introduction to Deep Learning (Synchronous e-learning)
Financial matters
Course fees payable (incl. GST & excl. supplementary fee)
| Description | Introduction to Deep Learning (Synchronous e-learning) | Total course fee |
|---|---|---|
| Full Course fee | $1,744.00 | $1,744.00 |
| Enhanced Training Support for SMEs for Singapore Citizen | $203.20 | $203.20 |
| Enhanced Training Support for SMEs - SPR & LTVP+ | $203.20 | $203.20 |
| SkillsFuture Mid-Career Enhanced Subsidy for Singapore Citizen aged 40 and above | $203.20 | $203.20 |
| SkillsFuture Baseline Funding for Singapore Citizen Aged Below 40 | $523.20 | $523.20 |
| SkillsFuture Baseline Funding for SPR/LTVP+ | $523.20 | $523.20 |
GST rate
The course fees payable above are inclusive of 9% GST rate.
Payment option
The payment needs to be made upon the application is submitted.
Allowed payment by
The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Refund and withdrawal policy
- Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
- Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
- Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.