Programmers’ Introduction to the Intel® FPGA Deep Learning Acceleration Suite (ODLAINTRO)

26 Minutes Online Course

Course Description

The Intel® FPGA Deep Learning Acceleration (DLA) Suite provides users with the tools and optimized architectures to accelerate inference using a variety of today’s common Convolutional Neural Network (CNN) topologies with Intel® FPGAs. The Intel® FPGA DLA Suite, included as part of OpenVINO™ toolkit, also makes it easy to write software that targets FPGA for machine learning inference. In this training, we will discuss the advantages of using FPGAs for CNN inference tasks. We will cover the contents of the Intel® FPGA DLA Suite and how various CNN layers are executed on the FPGA using the Intel® FPGA DLA Suite.

At Course Completion

You will be able to:

  • Understand why FPGAs can be effectively deployed for CNN inference tasks
  • Know the contents of the Intel® FPGA Deep Learning Acceleration Suite
  • Describe how CNNs are accelerated using the Intel® DLA Suite on the FPGA

Skills Required

  • Familiarity with Convolutional Neural Network concepts

Applicable Training Curriculum

This course is part of the following Intel FPGA training curriculum:

Class Schedule

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