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CUDA Advanced Libraries
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.
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| Rating | Not enough ratings |
|---|---|
| Length | 6 weeks |
| Effort | 4, 4-8 hours/week |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University via Coursera |
| Instructor | Chancellor Thomas Pascale |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Algorithms Machine Learning |
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| Rating | Not enough ratings |
|---|---|
| Length | 6 weeks |
| Effort | 4, 4-8 hours/week |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University via Coursera |
| Instructor | Chancellor Thomas Pascale |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Algorithms Machine Learning |
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