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What you'll learn

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.

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

Skills you'll gain

Performance Tuning

Numerical Analysis

Data Processing

Software Development

Image Analysis

Machine Learning Methods

Linear Algebra

Artificial Neural Networks

Data Transformation

Data Structures

Algorithms

Deep Learning

There are 5 modules in this course

This course will complete the GPU specialization, focusing on the leading libraries distributed as part of the CUDA Toolkit. Students will learn how to use CuFFT, and linear algebra libraries to perform complex mathematical computations. The Thrust library’s capabilities in representing common data structures and associated algorithms will be introduced. Using cuDNN and cuTensor they will be able to develop machine learning applications that help with object detection, human language translation and image classification.

cuFFT

CUDA Linear Algebra

The CUDA Thrust Library

CUDA Machine Learning