GPU Programming
About this Specialization
This specialization is intended for data scientists and software developers to create software that uses commonly available hardware. Students will be introduced to CUDA and libraries that allow for performing numerous computations in parallel and rapidly. Applications for these skills are machine learning, image/audio signal processing, and data processing.Created by: Johns Hopkins University
Related Online Courses
Would you like to spend some time of your study experience or even your whole study course abroad? Did you hear about the top universities in Germany? Then \"Welcome to Munich\"! In the first... more
Manage Identities and Governance in Azure Course is the first course of the Exam Prep AZ-104: Microsoft Azure Administrator Associate Specialization. This course is designed to describe the basics... more
This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to utilize custom fields in Looker Explores queries. Looker provides the ability for non-developer users to create and utilize... more
This specialization provides a comprehensive exploration of wetland science, covering ecological principles, human impacts, regulatory frameworks, and conservation strategies. Learners will develop... more
How can drones be used for good in environmental science? What types of data can scientists collect, and how should they go about collecting it using drones? Why should someone integrate drones... more
Powered by
