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Fundamentals of CNNs and RNNs(으)로 돌아가기

성균관대학교의 Fundamentals of CNNs and RNNs 학습자 리뷰 및 피드백

강좌 소개

This course covers fundamental concepts of convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which are widely used in computer vision and natural language processing areas. 
 In the CNN part, you will learn the concepts of CNNs, the two major operators (convolution and pooling), and the structure of CNNs. In the RNN part, you will learn the concept and the structure of RNNs, and the two variants of RNNs, LSTMs and GRUs. 
 The goal of this course is to give learners basic understanding of CNNs and RNNs. Throughout this course, you will be equipped with skills required for computer vision and natural language processing....

최상위 리뷰

필터링 기준:

Fundamentals of CNNs and RNNs의 4개 리뷰 중 1~4

교육 기관: ­배용희(대학원/일반대학원 물

2021년 5월 2일

Korean lecture. His explanation is very good. Easy to understand but simple deep learning concepts are required.

한국어 강의라서 매우 이해하기 쉽습니다. 설명을 아주 쉽게해주십니다. 한국인 분들에게는 추천합니다.

교육 기관: Taehee W

2021년 2월 9일

It is a really useful course, especially for those who learn Data Science for the first time like me.

교육 기관: Allison G

2021년 7월 10일

I would really like to take this course but the video's are in Korean (including subtitles). Please try to get translation done so I can take this course. Thank you.

교육 기관: Xiaohua L

2021년 3월 27일

the teacher speaks in korean language, I can't understand.