Course Outline

Introduction

Overview the Languages, Tools, and Libraries Needed for Accelerating a Computer Vision Application

Setting up OpenVINO

Overview of OpenVINO Toolkit and its Components

Understanding Deep Learning Acceleration GPU and FPGA

Writing Software That Targets FPGA

Converting a Model Format for an Inference Engine

Mapping Network Topologies onto FPGA Architecture

Using an Acceleration Stack to Enable an FPGA Cluster

Setting up an Application to Discover an FPGA Accelerator

Deploying the Application for Real World Image Recognition

Troubleshooting

Summary and Conclusion

Requirements

  • Python programming experience
  • Experience with pandas and scikit-learn
  • Experience with deep learning and computer vision

Audience

  • Data scientists
 35 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £9500 online delivery, based on a group of 2 delegates, £3000 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

Contact us for an exact quote and to hear our latest promotions


Public Training

Please see our public courses

Provisonal Upcoming Courses (Contact Us For More Information)

Related Categories