Deep Learning Optimisation Techniques

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. 

Last updated on 03 May 2023

Need more help?

If you are still unsure about which course to pursue, please contact our Academy for Continuing Education