JavaScript seems to be disabled in your browser.
You must have JavaScript enabled in your browser to utilize the functionality of this website.

Home
WSQ – Pattern Recognition with Deep Learning

WSQ – Pattern Recognition with Deep Learning

6 Review(s) | Add Your Review

Embark on a transformative journey with our WSQ-endorsed Pattern Recognition with Deep Learning course. You will delve into core concepts such as neural networks, feature extraction, and machine learning algorithms. Through hands-on projects and case studies, you'll gain practical experience in recognizing patterns and applying deep learning techniques to various types of data.

By the end of this course, you'll have a robust skill set in pattern recognition using deep learning methods. Whether you're a data scientist looking to specialize, or a professional in fields requiring complex data analysis, this course will empower you with the expertise to make insightful, data-driven decisions.

Course Learning Outcomes

By the end of the course, learners will be able to

Understand and code CNN models for image recognition.
Diagnose overfitting issues in image recognition and propose methods to overcome the issues.
Perform functional API coding based on a selected model.
Implement transfer learning to fine tune the image recognition models.
Understand code RNN models and word embedding for text recognition.

Course Brochure

Download WSQ – Pattern Recognition with Deep Learning Brochure

Skills Framework

This course follows the guideline of Analytics and Computational Modelling ICT-DIT-3001-1.1 TSC under ICT Skills Framework

Certification

Two e-certificates will be awarded to trainees who have demonstrated competency in the WSQ assessment and achieved at least 75% attendance.

Statement of Attainment (SOA) issued by WSG. You can download the SOA from here after 3-4 weeks upon completion of the course. Note that the SOA certificate title indicates the TSC title not the course title.
Certification of Achievement issued by Tertiary Infotech Pte Ltd issued after the class.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$688	$61.92	$405.92	$268.32

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

WSQ TG Application Form

Eligible individuals and company can apply for WSQ TG. Please fill in the required details for grant application. Please click here to submit for WSQ TG

Please do not pay upfront. We will advise you on the eligibility and nett fee after registration. Company sponsored staff are eligible for Absentee Payroll.

After the WSQ subsidy, you can offset the nett fee by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped at $250 per year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Please inform us if you intend to use your PSEA funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2020503207)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Course Code: TGS-2020503207

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$688.00 (GST-exclusive)

$749.92 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time * Course Time

9:30am - 6:30pm

Sponsorship *

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

NRIC (Last 3 Digits and Alphabet)

Additional Message or Emails for Course Notification

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Topic 1: Image Recognition with CNN

Introduction to Convolutional Neural Network (CNN)
Convolution & Pooling
Build a CNN Model for Image Recognition

Topic 2: Overfitting for Small Datasets

Overfitting and Underfitting
Methods to Solve Overfitting
Small Dataset Overfitting Issue
Data Augmentation & Dropout

Topic 3: Functional Keras API

What is Functional API
Create Sequential Model with Functional API
Create Non-Sequential Models with Functional API

Topic 4: Transfer Learning for Small Datasets

Introduction to Transfer Learning
Pre-trained Models
Transfer Learning on Small Dataset

Topic 5: Text Classification with RNN

Introduction to Recurrent Neural Network (RNN)
Types of RNN Architectures
LSTM and GRU
Word Embedding
Build a RNN Model for Text Classification

Final Assessment

Written Assessment (Q&A)
Practical Performance
Oral Questioning

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.
Minimum 18 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

TensorFlow

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents of age 21 and above
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

Steps to Apply Skills Future Claim

The staff will send you an invoice with the fee breakdown.
Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

Note

SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Job Roles

Data Scientist
Machine Learning Engineer
Statistician
R Developer
Quantitative Researcher
Bioinformatics Scientist
Predictive Modeler
Data Analyst (focusing on advanced analytics)
Big Data Specialist (using R)
Algorithm Developer
AI Researcher (using R)
Financial Quantitative Analyst
Business Intelligence Specialist (with R expertise)
Marketing Analytics Specialist (using R)
Epidemiologist (utilizing machine learning).

Trainers

Man Guo Chang: Man Guo Chang graduated from Nanyang Technological University, School of Electrical and Electronic Engineering, major in Computer Engineering.

He has more than 25 years of working experience in the Semiconductor field, specialized in IC Testing, Inline Electrical Testing, Product & Yield Engineering, Data Analysis, System Engineering, and Software Development. He is also an ACTA certified trainer, currently providing STEM training to adult learners in the area of Computer Vision, Internet of Things, Embedded Electronics, and Python Programming

Quah Chee Yong: Quah Chee Yong is a ACTA trainer. Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industries A firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners.

Customer Reviews (6)

Mr. Alfred Ang is a professional and excellent trainer. He is patience and will check on our daily progress regularly. I learned a lot from him during these 2 days course. Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Ensure that all the resources are inside the Google Classroom
(Posted on 8/4/2021)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 8/2/2021)

might recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

More practice before the exam
Computer test instead of paper test (Posted on 5/3/2021)

might recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

the laptop is too slow
more practical session before exam (Posted on 5/3/2021)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 8/2/2020)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Include more exercises on real time application (Posted on 6/3/2020)

Write Your Own Review

You're reviewing: WSQ – Pattern Recognition with Deep Learning

How do you rate this product? *

	1 star	2 stars	3 stars	4 stars	5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

*Nickname
*Summary of Your Review
*Review
*Please type the letters below
Attention: Captcha is case sensitive.

About Us

Tertiary Courses, founded in 2014, specializes in providing modular, skill-based courses tailored to Industry 4.0. We are WSQ Approved Training Organization (ATO), and IBF Approved ATO.. We are also Authorized Microsoft Learning Partner, Autodesk Authorized Training Center (ATC), Pearson Vue Authorized Test Center and Kryterion Authorized Testing Center. We offer a comprehensive range of training, certification prep and certification exam services. Additionally, we are a registered supplier with Singapore GeBiz, further solidifying our position as a trusted educational institution in the region.

Training Grants and Subsidies

We have various grants and subsidies for different courses. Please check the respective funding available on individual course page.

WSQ: Company and Singaporeans/PR can apply WSQ 70-90% funding depending on eligibility
SkillsFuture Enterprise Credit (SFEC) - Eligible Singapore-registered companies can tap on $10000 SFEC to cover up to 90% of out-of-pocket expense
SkillsFuture Credit: All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses.
IBF-STS Companies and Singaporeans/PR can apply IBF-STS 70-90% funding depending on eligibility
UTAP: NTUC members enjoy 50% subsidy for unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP
SGTech STAR Fund: SGTECH members enjoy $500 grant per pax for SGTech STAR courses