Deep learning neural networks are generally easy to define and fit, however, they are still hard to configure for optimum performance. There are no hard and fast rules to optimise a network for a given problem and it is not possible to analytically calculate the optimal model type or model configuration for a given dataset. In this course, participants will work through techniques that improve model learning in response to a training dataset, reduced overfitting and improve prediction.
We recommend participants to complete Deep Learning with Python before signing up for this course.
Laptops will be provided for the duration of the course.
Learning Objectives
By the end of the course, participants will be able to:
- Develop framework for deep learning optimization
- Apply techniques for optimising learning, optimising generalisation and improving prediction
Who should attend?
App developers, AI/ML engineers, Data Engineers
Entry Requirement
Participants should have a good understanding and knowledge of Machine Learning Fundamentals and Deep Learning
Certification
Participants will be awarded a certificate of completion upon meeting the 75% course attendance requirement.
For courses with assessment component, participants will be awarded the certification of completion upon passing the assessment. Otherwise, a certification of attendance will be issued instead upon meeting the 75% course attendance requirement.
Course Dates
Click "APPLY NOW" to check available course dates and to register.
Course Duration
2 days
If you are not available on the dates listed in our registration portal, we would like to hear from you by clicking here
Fees for 2022
| Full course fee (with GST) |
Singapore Citizens aged 39 & below OR Singapore PR |
Singapore Citizens aged 40 & above |
SME-sponsored Singapore Citizens OR Singapore PR |
| $545.70 |
$163.71 |
$54.57 |
$61.71 |
Fees for 2023
| Full Course Fees (with GST) |
Singapore Citizens aged 39 & below |
Singapore Citizens aged 40 & above |
Singapore PR |
SME-sponsored Singapore Citizens |
SME-sponsored Singapore PR |
| $550.80 |
$163.71 |
$54.57 |
$165.24 |
$61.71 |
$63.24 |
Notes:
- Payment may be made using SkillsFuture Credit.
- Fees reflected are inclusive of Goods and Services Tax (GST). In line with the government fee freeze directive from 1 Jan to 31 Dec 2023, the fees in 2023 for Singapore Citizen will remain the same as 2022. RP will absorb the additional 1% GST for Singapore Citizen in 2023 only.
Republic Polytechnic reserves the right to make changes to the course fee and application closing dates without prior notice. The commencement of each course is subject to sufficient number of participants.
All information is accurate at time of publishing.