Arm Machine Learning Intro to Arm Compute Library

  • Delivery method: Virtual Classroom (Private)

  • Location: WebEx

  • Course Length: 1/2 Day

  • Technology Focus: Software

  • Cost: Contact us for pricing

  • Provider: Arm

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Summary

At the end of this course, delegates will be able to

  • Know the main features and functions of Compute Library and also know how to build Compute Library.
  • Understand the structure of Compute Library.
  • Gain knowledge about how to optimize and implement algorithm using OpenCL.
  • Comprehend Winograd algorithm and know how to implement it.

Prerequisites:

Some background knowledge about OpenCL and Machine Learning.

Audience:

Engineers who work on Machine Learning projects and would like to use Compute Library in their projects.

Length:

3 hours

Modules:

Introduction and Optimization Courses

  • Compute Library Introduction
    • Overview
    • Compiling
    • Structure
  • Optimization Case Study
    • Gaussian Pyramid Optimization
    • Integral Image Optimization
    • SGEMM Optimization
    • Winograd Implementation
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