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.
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Fundamentals of CNNs and RNNs
成均馆大学课程信息
Learners should have an undergraduate in Math or Engineering with knowledge of calculus, linear algebra, probability and statistics.
您将学到的内容有
Deep learning
Convolutional neural network
Recurrent neural network
您将获得的技能
- Deep Learning
- Artificial Intelligence (AI)
- Convolutional Neural Network
- Machine Learning
- Recurrent Neural Network
Learners should have an undergraduate in Math or Engineering with knowledge of calculus, linear algebra, probability and statistics.
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成均馆大学
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.
授课大纲 - 您将从这门课程中学到什么
Week 1. CNN Basics
Week 2. Convolution and Pooling
Week 3. Structure of CNNs
Week 4. Recurrent Neural Network
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