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Introduction to Deep Learning (Synchronous e-Learning)

Offered by School of InfoComm Technology

Short Course / 3 days / TGS-2021006417

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Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Certification
Entry Requirements
Course Fees
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Contact us for more information

Course Information

NEURAL NETWORKS FUNDAMENTALS

  • Understand how Artificial Neural Networks and Multi-layer Neural Networks works
  • Understand how deep learning models are used for image recognition, prediction and for building recommender engines.
  • Using popular libraries and framework to design and develop a deep learning model to address a problem statement

You may also join our interest mailing list for updates on future runs of this course or other similar courses.

Learning Outcomes

  • Understand how Artificial Neural Networks and Multi-layer Neural Networks works
  • Understand how deep learning models are used for image recognition, prediction and for building recommender engines.
  • Using popular libraries and framework to design and develop a deep learning model to address a problem statement

Course 
Schedule

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Course Date: TBC

Application Period: TBC

Duration: 3 days

Time: 9am to 6pm

Delivery Mode: Synchronous e-Learning

Venue: Online

Please take note that photos and videos may be taken during the course for record and publicity purposes.

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

  • Artificial Neural Networks
  • Multi-layer Neural Networks
  • Tensorflow and PyTorch

Certification

Certification

In-class assessments.


A Certificate of Performance will be awarded to participants who achieve at least 75% attendance and pass all required assessment(s).


A Certificate of Participation will be awarded to participants who meet the 75% attendance requirement but did not pass all required assessment(s).

Entry Requirements

In-class assessments.

A Certificate of Performance will be awarded to participants who achieve at least 75% attendance and pass all required assessment(s).
A Certificate of Participation will be awarded to participants who meet the 75% attendance requirement but did not pass all required assessment(s).

Course Fees

Funding period for this course is from 7 Jul 2020 to 30 Sep 2024. 

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. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory.

Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

Enhanced training support for SMEs
For enhanced training support for SMEs, enter SME in the promo code during course application.

Long Term Visit Pass Plus (LTVP+) holders, please furnish the following documents to the course administrator to qualify for SSG funding:

  1. Self-sponsored learner (**LTVP+): Copy of your green visit pass card, with the word ‘PLUS’ on the back of the card.
  2. Co-sponsored learner (##LTVP+): Copy of valid and current Letter of Consent (LOC) from MOM

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

(Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review.)

Applicants / Eligibility Fees
Full course fee$1712.00