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Machine Learning on Raspberry Pi with Tensorflow

Tensorflow is a popular Artificial Intelligence framework for building Deep Neural Network (DNN) and Convolutional Neural Network (CNN) for computer vision. Raspberry Pi is a popular credit card size computer with Linux based operating system and can be mounted with camera. The application of Tensorflow on Raspberry Pi has produced a suite of machine learning and computer vision applications on Raspberry Pi. This course will go through step by step on installing Tensorflow on Raspberry Pi and how to implement machine learning and deep learning algorithms on Raspberry Pi

Topics include:

  • Install Tensorflow on Raspberry PI
  • Machine Learning on Raspberry Pi
  • Deep Learning on Raspberry Pi
  • Computer Vision 
  • Transfer Learning



Course Code: C610

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.

Course Details

Module 1 Get Started

  • Overview of Tensorflow and Raspberry Pi
  • Install TensorFlow on Raspberry Pi


Module 2 Machine Learning on Raspberry Pi

  • Basic Tensorflow Operations
  • Machine Learning with Tensorflow
  • Upload  ML Model to Raspberry Pi


Module 3 Deep Learning Network on Raspberry PI

  • Deep Neural Network with Tensorflow
  • Upload DNN Model to Raspberry Pi

Module 4 CNN Computer Vision on Raspberry PI

  • Convolutional Neural Network (CNN) with Tensorflow
  • Upload CNN Model to Raspberry PI
  • Computer VIsion with Raspberry Pi Camera

Module 5 Transfer Learning

  • Introduction to VGG16 and Inception Transfer Learning Models
  • Commputer Vision using Transfer Learning on Raspberry Pi
  • Fine Tuning  Transfer Leaning with Raspberry Pi

Who Should Attend

  • Engineers
  • Computer Vision Engineers
  • Scientists

Prerequisite

Basic knowledge of Python and Raspberry Pi are assumed.

Trainers

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.

Chief Trainer in Tertiary CoursesDr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 1997 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.

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