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CUDA Advanced Libraries
Coursera
Course
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CUDA Advanced Libraries

Johns Hopkins University

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

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About 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

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.

Instructors

C

Chancellor Thomas Pascale

Computer Science

Topics

Data Science
Data Structures
Machine Learning
Digital Signal Processing
Algorithms
Data Processing
Artificial Neural Networks
Linear Algebra
Image Analysis
Numerical Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

CUDA
حوسبة GPU
الجبر الخطي
معالجة الإشارات
مكتبات cuDNN
تسريع تعلم الآلة
Artificial Neural Networks
Linear Algebra
Image Analysis
Numerical Analysis

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