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Information Technology
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CUDA Advanced Libraries

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Coursera
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Course Features

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Duration

25 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

25 hours

Course Description

This course will finish the GPU specialization. It will focus on the CUDA toolkit's leading libraries. Students will be able to use CuFFT and linear algebra libraries to do complex mathematical computations. It will also be demonstrated the Thrust library's ability to represent common data structures and the associated algorithms. They will be able create machine learning applications using cuDNN/cuTensor that assist with image classification, human language translation, and object detection.

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

You will learn to develop machine learning software for a variety of purposes using neural networks modeled using the cuTensor and cuDNN libraries

You will learn to develop software that performs high-level mathematics operations using libraries such as cuFFT and cuBLAS

You will learn to use the Thrust library to perform a number of data manipulation and data structures that abstract away memory management

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