Introduction to Deep Learning

Short Course / 3 days

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Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Trainer Profile
Certification
Entry Requirements
Course Fees
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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

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Learning Outcomes

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  • Understand how Artificial Neural Networks and Multi-layer Neural Networks works

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  • Understand how deep learning models are used for image recognition, prediction and for building recommender engines.

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  • Using popular libraries and framework to design and develop a deep learning model to address a problem statement

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Course 
Schedule

Course Date: TBC_x000D_
Application Period: TBC_x000D_
Duration: 3 days_x000D_
Time: 9am to 6pm_x000D_
Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

This course consists of 1 modules:

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  • Artificial Neural Networks

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  • Multi-layer Neural Networks

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  • Tensorflow and PyTorch

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Trainer's Profile

Wei-Meng Lee

Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a company specializing in hands-on training on the latest technologies. Wei-Meng has many years of training experiences and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming makes understanding the subject much easier than reading books, tutorials, and documentations. His name regularly appears in online and print publications such as DevX.com, MobiForge.com, and CoDe Magazine

Certification

In-class assessments._x000D_


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

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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

Applicants with any of the following qualifications are invited to apply for the course:

In-class assessments._x000D_

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

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

Course Fees

For Singaporeans and Permanent Residents who qualified for Enhanced Training Support for SMEs, enter SME in the promo code during course application.

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Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review._x000D_
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For more information on other subsidies, please click here. _x000D_

SkillsFuture Credit Funding Available. Terms and Conditions apply.

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

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

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Applicants / Eligibility Fees
Full course fee$1712.00
For Singaporeans aged 40 & above / Singaporeans or PRs sponsored by SMEs* (After 90% SSG Funding Subsidy)$193.60
Singaporeans and PRs (After 70% SSG Funding Subsidy)$513.60