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Instructor-led Classroom Adult Training in Singapore - Modular Fast Track Skill-Based Trainings

Generative Adversarial Networks (GAN) Course for Beginners

Generative models are gaining a lot of popularity recently among data scientists, mainly because they facilitate the building of AI systems that consume raw data from a source and automatically builds an understanding of it. Unlike supervised learning methods, generative models do not require labelled data.

Generative adversarial networks (GANs) are a special class of generative models introduced by Ian Goodfellow in 2014. In GAN, a generator function learns to synthesize samples that best resemble some dataset, while a discriminator function learns to distinguish between samples drawn from the dataset and samples synthesized by the generator. GANs have emerged as a promising framework for unsupervised learning: GAN generators are able to produce images of unprecedented visual quality, while GAN discriminators learn features with rich semantics that lead to state-of-the-art semi-supervised learning

In this course, you will learn

  • Generative model using Auto Encoder
  • GAN Architecture
  • GAN Implementation on MNIST dataset
  • Style Transfer with GAN
  • Image Generation with GAN


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Course Code: CRS-N-0044910

Course Booking

$298.00

Course Date

Course Time

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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.


Training Grant and Subsidy

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 www.skillsfuture.sg/credit to choose from the courses available on the SkillsFuture Credit course directory

Course Details

Module 1 Overview of Generative Models

  • What is Generative Models
  • Application of Generative Models
  • Types of Generative Models
  • Online Generative Model Demo with Sketch-RNN
  • Installing Google Colab

Module 2 DeepDream

  • Recap on Convolutional Neural Networks (CNN)
  • Recap on Transfer Learning
  • What is DeepDream?
  • DeepDream Applications
  • DeepDream Implementation

Module 3 Neural Style Transfer

  • What is Neural Style Transfer?
  • Neural Style Transfer Applications
  • Neural Style Transfer Implementation

Module 4 Variational Autoencoder (VAE)

  • What is Autoencoder
  • Variational Autoencoder (VAE)
  • VAE Implementation

Module 5 Generative Adversarial Networks (GAN)

  • What is GAN?
  • GAN Applications
  • Basic DCGAN Architecture
  • DCGAN Implementation
  • GAN Challenges and Tricks

Module 6 Text Generation (Optional)

  • Recap on Recurrent Neural Networks (RNN)
  • Recap on Long Short Term Memory (LSTM)
  • Char by Char Text Generation with LSTM

Who Should Attend

  • AI Developers
  • Artificial Intelligence Engineers
  • Data Scientists

Prerequisite

Prerequisite

This is a intermediate course. Participants should have basic knowledge on the following subjects:

  • Python
  • Keras
  • Machine Learning

Software Requirement

We will use Google Colab for this training. Google Colab is a free Jupyter Notebook like software that provides free GPU for model training.

Please follow the instruction below to install Google Colab on your Google Drive

https://medium.com/deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5d

Trainers

GAN Machine Learning trainerDr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products

Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Dr. Alfred Ang was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.

GAN Machine Learning TrainerWee Chee Hong is a veteran consultant in the field of Engineering Design. He has over 20 years experience in electronics/ IT industry with several MNCs including Compaq, Adaptec, Agilent, etc., with specialization in Automation System Design (drilling/ milling machine, 3D machine automation, machine data collection, test & measurement electronics design), Motion control design & applications. With wide technical skill set in development language/ tools .Net, Java, PowerBuilder to C++/ C/C#, he has also strong knowledge in development of firmware for microcontroller such as PIC, ARM and others.

Chee Hong graduated with a B.Eng degree in Electrical Electronics Engineering and holds a Master Degree of Technology from NUS.

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