Fundamentals of CNNs and RNNs

Jee-Hyong Lee

Offered By

Fundamentals of CNNs and RNNs

Sungkyunkwan University

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Learners should have an undergraduate in Math or Engineering with knowledge of calculus, linear algebra, probability and statistics.

Approx. 5 hours to complete

Korean

Subtitles: Korean

What you will learn

Deep learning

Convolutional neural network

Recurrent neural network

Skills you will gain

Deep LearningArtificial Intelligence (AI)Convolutional Neural NetworkMachine LearningRecurrent Neural Network

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Learners should have an undergraduate in Math or Engineering with knowledge of calculus, linear algebra, probability and statistics.

Approx. 5 hours to complete

Korean

Subtitles: Korean

Instructor

Jee-Hyong Lee

Professor, College of Software

College of Software, Artificial Intelligence

843 Learners

1 Course

Offered by

Sungkyunkwan University

Sungkyunkwan University (SKKU) was established in 1398 as the highest national educational institute in the early years of Joseon Dynasty in Korea. At present with the support of the world-renowned global company Samsung, SKKU is leading the development of higher education in Korea. SKKU actively encourages international collaboration through developing cutting-edge research and educational programs with its global partners.

Syllabus - What you will learn from this course

Week

Week 1

1 hour to complete

Week 1. CNN Basics

1 hour to complete

1 video (Total 24 min), 1 reading, 1 quiz

Week

Week 2

1 hour to complete

Week 2. Convolution and Pooling

1 hour to complete

1 video (Total 34 min), 1 reading, 1 quiz

Week

Week 3

1 hour to complete

Week 3. Structure of CNNs

1 hour to complete

1 video (Total 31 min), 1 reading, 1 quiz

Week

Week 4

1 hour to complete

Week 4. Recurrent Neural Network

1 hour to complete

1 video (Total 29 min)

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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Fundamentals of CNNs and RNNs

Fundamentals of CNNs and RNNs