Fundamentals of CNNs and RNNs

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.

Status: Recurrent Neural Networks (RNNs)

Status: Image Analysis

BeginnerCourse5 hours

All reviews

Showing: 10 of 10

Xiaohua Liu

1.0

Reviewed Mar 27, 2021

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

Allison Galuhn

3.0

Reviewed 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.

wonseok kim

5.0

Reviewed 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.

Will Bae

5.0

Reviewed May 2, 2021

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.

Kim Dohyung

5.0

Reviewed Mar 26, 2025

지금까지 봐왔던 모든 강의들 중 CNN과 RNN을 가장 알기쉽게 설명해준 강의였음.

Taehee Won

5.0