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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

Deep Learning and Machine Learning with TensorFlow

Elevate your Machine and Deep Learning knowledge with our meticulously crafted TensorFlow course at Tertiary Courses. Beginning with fundamental TensorFlow 2 operations, participants will be introduced to the expansive world of Neural Networks, with hands-on learning in both Regression and Classification domains. Delve deeper into specialized arenas, understanding the intricacies of Convolutional Neural Networks for Vision and exploring the vast applications of Recurrent Neural Networks for Sequential Data.

Our training goes beyond just the foundational elements. Experience the power of Transfer Learning and unlock new horizons with TensorFlow Hub, ensuring you're not just familiar, but proficient with the wide-ranging functionalities TensorFlow offers. Guided by seasoned experts and enriched with practical sessions, this course is your definitive step towards mastering TensorFlow-driven Deep and Machine Learning.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

Click the links below to apply. Note that you need to register the course first.

SkillsFuture Credit

For individuals, please submit your SkillsFuture Credit

SSG TG and AP Application

For companies, please fill in the required details for grant application. SSG Training Grant Application Form

Please do not pay up front. We will advise you on the eligibility and nett fee after registration

UTAP

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

Course Code: TGS-2020501244

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.

$498.00 (GST-exclusive)
$542.82 (GST-inclusive)

Course Date

Course Time

* 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 Introduction to Deep Learning

  • Machine Learning vs Deep Learning
  • Deep Learning Methodology
  • Overview of Tensorflow Keras
  • Install and Run Tensorflow Keras
  • Basic Tensorflow Keras Operations

Topic 2 Neural Network for Regression

  • What is Neural Network (NN)?
  • Loss Function and Optimizer
  • Build a Neural Network Model for Regression

Topic 3 Neural Network for Classification

  • One Hot Encoding and SoftMax
  • Cross Entropy Loss Function
  • Build a Neural Network Model for Classification

Topic 4 Convolutional Neural Network (CNN)

  • Introduction to Convolutional Neural Network?
  • ImageDataGenerator
  • Image Classification Model with CNN
  • Data Augmentation and Dropout

Topic 5 Transfer Learning

  • Introduction to Transfer Learning
  • Applications of Pre-Trained Models
  • Fine Tuning Pre-Trained Models

Topic 6 Recurrent Neural Network (RNN)

  • Introduction to Recurrent Neural Network (RNN)
  • LSTM and GRU
  • Build a RNN Model for Time Series Forecasting
  • Build a RNN Model for Sentiment Analysis

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • 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.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

SSG Training Grant

SSG TG is $15 per pax. Net fee after SSG TG is $309.82. Absentee Payroll is not eligible.

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’

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

  • Log in to your U Portal account to submit your UTAP application upon completion of the course.

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

  • Machine Learning Engineer
  • Data Scientist
  • Deep Learning Researcher
  • AI Developer
  • Neural Network Designer
  • Computer Vision Engineer
  • NLP Engineer (branching into deep learning)
  • AI Product Manager (technical understanding)
  • Robotics Engineer (with AI components)
  • Bioinformatics Scientist (deep learning applications)
  • Medical Imaging Specialist (AI-focused)
  • Game Developer (AI-driven features)
  • Predictive Analytics Specialist
  • AI/ML Educator or Trainer
  • Autonomous Systems Developer.

Trainers

Richard Wan: Richard Wan is a ACTA certified trainer. Richard Wan has more than 30 years of experience in software development in various computer disciplines, including computer vision, communication and digital publishing.

Technical expertise includes: Windows, Linux developments with C, C++, Delphi (Object Pascal), Visual Studio, OpenCV. Embedded system programming including microcontrollers, Arduino, Pi, BeagleBone etc.

Ken Yuen: Ken Yuen is a ACTA certified trainer. He has more than 10 years of experience working as an instructor, Application Development Engineer, Technical Consultant and Project Manager. He is an MOE-Registered Instructor teaching STEM programs for past 3 years such as Arduino, Micro:bits and robotics to schools and libraries based on the smart nation initiative roadmap.

He completed his Diploma in Electronic Engineering at Singapore Polytechnic and graduated with Bachelor of Electrical and Electronics Engineering from Nanyang Technological University and certified PMP (Project Management Professional).

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

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Customer Reviews (102)

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
second day content abit too heavy, can push some to first day (Posted on 9/19/2023)
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
Lots of mistakes and errors in slides, the codes not able to copy and paste as it will appear many errors. Slides need updating urgently. (Posted on 7/25/2023)
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
. (Posted on 7/25/2023)
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 4/18/2023)
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
Richard is very knowledgeable and engaging. (Posted on 12/21/2022)
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 8/21/2022)
Generally very nicely organized f 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
Another example on detecting where in an image a car or a cat is (localization) would be a really good example if the instructor wants to.

The examples and codes provided were very very helpful, letting us know all the nitty gritty of data and model prep. Generally very nicely organized for professionals who know the basic concepts of ML but want practical introductions. (Posted on 9/22/2021)
The trainer teach very well, easy to follow. 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
Already Good (Posted on 9/19/2021)
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
Will give a rating of 4.5 to the course, and to the trainer Chee Yong. He is qualified to teach. The initial morning was slow, but, on 2nd day, good that we have gone the concepts again.

Will be good if there are hands-on session that we are expected to do ourselves during the session as throughout, the trainer hand-on us (Posted on 8/24/2021)
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
How to apply it in real life e.g. how does real world deep learning works differenly from the provided codes.
The starting part was slow with theories. After lunch, momentum was there and learning was much interesting with more practical hands on. (Posted on 8/23/2021)
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
More examples in Jupiter notebook (Posted on 8/19/2021)
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
For Day 2 as the info get more complicated, kindly provide more guidelines and emphasis on the important points for effective learning. i would also like to feedback that such courses try to avoid zoom as it may affect the delivery of the course.

Richard Wan is a patience and experience trainer and i learnt a lot from him. (Posted on 7/30/2021)
Dr Sudipta Samanta is very knowledgeable and explains complex concepts well in simple terms. Highly 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 4/26/2021)
will recommend Review by Course Participant/Trainee
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3. How do you find the training environment
. (Posted on 4/21/2021)
will recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 12/20/2020)
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
. (Posted on 11/23/2020)
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
. (Posted on 10/16/2020)
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
. (Posted on 9/18/2020)
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
. (Posted on 8/31/2020)
will recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 8/30/2020)

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