CUDA Advanced Libraries

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

CUDA Advanced Libraries

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago
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.

What You'll Learn

Uses CUDA Advanced Libraries for complex mathematical computations and data structures

Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

⚡
I Almost Quit Java After My First Project (Then One Bug Changed Everything)
A Java developer shares how overcoming a single bug changed their approach to coding and improved their skills
Medium · Python
 ⚡
FastAPI for Production AI: From Notebook to Scalable APIs
Learn to deploy machine learning models to production using FastAPI, bridging the gap from local scripts to scalable APIs
Dev.to AI
 ⚡
Is BMAML correct decision, and how can one implement it?
Learn how to implement Bayesian Model-Agnostic Meta-Learning (BMAML) and decide if it's the correct choice for your project
Reddit r/deeplearning
 ⚡
Easiest Way to Understand Machine Learning Concepts
Learn the easiest way to understand machine learning concepts and get ready for any machine learning interview
Medium · Machine Learning
Up next
Learn Deep Learning by Hand (Beginner's Guide - Part 1)
Thu Vu
Watch →