Fundamentals of CNNs and RNNs

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Fundamentals of CNNs and RNNs

位教师：Jee-Hyong Lee

5,563 人已注册

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Deep learning
Convolutional neural network
Recurrent neural network

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5 项作业

授课语言：韩语

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该课程共有5个模块

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.

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位教师

授课教师评分

(8个评价)

Jee-Hyong Lee

Sungkyunkwan University

1 门课程5,563 名学生

提供方

Sungkyunkwan University

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已于 May 1, 2021审阅

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.

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