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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All of these courses are great. The other reviewers who downrated them don't know what a college course feels like. This feels like a college course and should be treated as such. You get out of it what you put in. I thoroughly enjoyed the content and the challenges that were presented in hands-on programming projects.
Excellent course
Contents are very useful, make them more practical by seeking feedback from real-world projects. Peer graded assignment evaluation needs to be improved since candidates have to wait for the grading, make provision for reviews for people with urgency.
今まで50以上のコースを修了してきたが、この専門講座がダントツのワースト１。
専門講座内の全コースを通した所感
・課題のプログラム、採点システム、ビデオのスライド全てにおいて、バグが多すぎる。
・課題のプログラムの内容に関する説明が皆無で、何をやらせたいのか全く理解できない。
・コンパイルエラーと、採点システムの不具合の対処に終始する。
・コース３とコース４の最後にはピアレビュー課題があるが、過疎のためいつ採点されるか不明。
Assignments are badly defined, almost everyone doing this course is clueless. The lectures are mediocre. Not sure what I learnt from this course, not much GPU programming.
the grader is always broken and there is no human being to assist