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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....
필터링 기준:

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

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.