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

4.4
stars
33 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. 鈥� 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. 鈥� 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....

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1 - 10 of 10 Reviews for Fundamentals of CNNs and RNNs

By Xiaohua L

鈥�

Mar 27, 2021

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

By Allison G

鈥�

Jul 10, 2021

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.

By wonseok k

鈥�

Jan 22, 2022

In My Opinion, this course is the best CNN and RNN course. the professor's explaining for important concepts are really easy and intuitive. I've never heard that kind of explaining.

I strongly recommend this course.

By Will B

鈥�

May 3, 2021

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

頃滉淡鞏� 臧曥潣霛检劀 毵れ毎 鞚错暣頃橁赴 靿届姷雼堧嫟. 靹る獏鞚� 鞎勳＜ 靿疥矊頃挫＜鞁媹雼�. 頃滉淡鞚� 攵勲摛鞐愱矊電� 於旍矞頃╇媹雼�.

By Kim D

鈥�

Mar 26, 2025

歆�旮堦箤歆� 氪愳檾雿� 氇摖 臧曥潣霌� 欷� CNN瓿� RNN鞚� 臧�鞛� 鞎岅赴靿疥矊 靹る獏頃挫 臧曥潣鞓�鞚�.

By Taehee W

鈥�

Feb 9, 2021

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

By Dennis L

鈥�

Jul 2, 2023

The lectures are in Korean, use subtitles

By 旯�鞁滌

鈥�

Apr 28, 2025

I study this lecture again

By 靷儱昃�

鈥�

Oct 19, 2024

鞚错暣頃橁赴 雱堧 靿泴鞖�!! 臧愳偓頃╇媹雼�

By Ulfa L H

鈥�

Oct 1, 2021

good course!