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Image Generation With Diffusion Models

If you’re looking for a crash course in generative modeling, this course was made for you. Generative adversarial networks (GANs) and diffusion models are some of the most important components of machine learning infrastructure. 

This course will get you started building GANs with both dense neural as well as deep convolutional networks. You will learn how to get up and running with GANs using TensorFlow and diffusion models using PyTorch.

Certificate

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

Funding and Grant Applications

No funding is available for this course

Course Code: C796

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.

$300.00 (GST-exclusive)
$327.00 (GST-inclusive)

Course Date

* 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 Generation with Generative Adversarial Network (GAN)

  • Overview of Generative Models
  • Architectural Overview of GAN 
  • Adversarial Loss Functions
  • Building GAN using NN and CNN
  • Training the Generator and Discriminator Networks

Topic 2 Image Generation with Diffusion Models

  • Denoising Diffusion Probabilistic Models
  • Forward and Backward Diffusion Models
  • Building Diffusion Models 

Course Info

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

Job Roles

  • Data Scientist
  • Machine Learning Engineer
  • AI Researcher
  • Deep Learning Specialist
  • Computer Vision Engineer
  • AI Product Developer
  • Graphics Software Developer
  • Multimedia Artist (using AI)
  • Bioinformatics Researcher (for GAN-based simulations)
  • Financial Modeler (using AI for simulations)
  • R&D Specialist in AI
  • Robotics Engineer (with AI modeling)
  • Game Developer (using GANs for content generation)
  • Innovation Manager (in tech firms)
  • Computational Scientist

Trainers

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.

Dr. Alfred Ang: Dr. 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 is a ACTA certified trainer and DACE certified course developer. He 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.

Customer Reviews (1)

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The borrowed laptops which I had requested days before the courses did not come with the software and students had to download it themselves. I think this is quite unprofessional especially since we were not even able to download iclone because the laptops provided did not meet the system requirements. (Posted on 3/7/2019)

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