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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


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Course Code: M623

Course Booking

MYR880.00 (GST-exclusive)

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

Tensorflow TrainerDr Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance. He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learning (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana. He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post-graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Tensorflow Trainer Jatin Solanki has over 10 years of experience in advanced analytics, business intelligence & corporate strategy. He has worked in insurance, eCommerce (internet), Travel, Consulting & FMCG. He is well-versed in R, SPSS, PSPP, Python, SAS enterprise miner, Knime, Matlab, Rapidminer, Google analytics, Adobe marketing cloud, Database knowledge: MySQL, SQL, Postgres, MongoDB Business intelligence knowledge: Tableau, QlikView, Cognos. He has expertise in Web analytics, Management finance reporting, Financial modelling.

Tensorflow TrainerSultan Maideen has over 8 years of experience in Business Intelligence with Predictive Analytics and Data Visualization. His colleagues regard him as a self-motivated thought leader in building governed self-service BI/Analytical models in Tableau, QlikView, MicroStrategy, and Power BI. He specializes in enhancing the quality of business strategy and helping companies improve top-line & bottom-line by devising creative solutions & managing stakeholders’ expectations successfully.

Tensorflow TrainerMuhammad Samer Sallam is a software engineering and data Scientist with more than 3 years’ experience in the field of machine learning/ deep learning. He has a great passion for data science, intelligent-seeming algorithms and web technologies to develop smart web products improving the human life. His interest led him to achieve comprehensive experiences in C#, Python, MATLAB, HTML & CSS, Javascript, and Mysql.


His Work experiences are as below:

  • Control and Automation Engineer at Damascus International Airport,
  • Damascus (Syria) Research and Development Team Leader at Rachis Systems, Kuala Lumpur (Malaysia)
  • Machine Learning Specialist in Abundent, Kuala Lumpur (Malaysia)

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