Chevron Left
Back to Fundamentals of CNNs and RNNs

Learner Reviews & Feedback for Fundamentals of CNNs and RNNs by Sungkyunkwan University

4.2
stars
12 ratings

About the Course

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....

Top reviews

Filter by:

1 - 6 of 6 Reviews for Fundamentals of CNNs and RNNs

By Xiaohua L

Mar 27, 2021

By Allison G

Jul 10, 2021

By wonseok k

Jan 22, 2022

By ­배용희(대학원/일반대학원 물

May 2, 2021

By Taehee W

Feb 9, 2021

By Ulfa L H

Oct 1, 2021