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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

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M623

Course Booking

MYR980.00

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

IoT and Robotics TrainerReza Khosravi is the founder and CEO of Skymics Sdn Bhd a High Tech MSC status company in field of IT and Internet of Things Technology. He has over 15 years of experience in IT and Telecomunication. He is the inventor of the C65 embedded device. He graduated from Staffordshire University with MBA degree in IT.

  • More than 5 years of experiance in Smart Cities Solutions
  • Expert on Embedded System Design, Raspberry Pi and Arduino
  • Expert on IBM Blunix and IBM Watson
  • More than 3 years of experiance in filed of IoT solutions.
  • He is the designer of below IoT Projects in last 3 years.
  1. Smart Building System
  2. Energy Monitoring, Controlling and Saving
  3. Environmental Monitoring
  4. Flood detection and prediction system based on IoT and big data
  5. Online Weather Station Based on IoT
  6. Smart Farming System (Long Range Wireless Sensor Networks)
  7. Smart Hydroponic System Based on IoT
  8. IP TV and Digital Signage System
  9. RFID Payment Gateway Solutions
  10. GPS Tracking System
  11. Remote Sensing

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