Fundamentals of CNNs and RNNs

Fundamentals of CNNs and RNNs

Instructor: Jee-Hyong Lee

5,584 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

40 reviews

Beginner level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

40 reviews

Beginner level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Deep learning
Convolutional neural network
Recurrent neural network

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in Korean

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There are 5 modules in this 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.

What's included

1 video1 reading1 assignment

What's included

1 video1 reading1 assignment

What's included

1 video1 reading1 assignment

What's included

1 video1 assignment

What's included

1 video1 assignment

Instructor

Instructor ratings

(8 ratings)

Jee-Hyong Lee

Sungkyunkwan University

1 Course5,584 learners

Offered by

Sungkyunkwan University

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