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.
제공자:


Fundamentals of CNNs and RNNs
성균관대학교이 강좌에 대하여
Learners should have an undergraduate in Math or Engineering with knowledge of calculus, linear algebra, probability and statistics.
배울 내용
Deep learning
Convolutional neural network
Recurrent neural network
귀하가 습득할 기술
Learners should have an undergraduate in Math or Engineering with knowledge of calculus, linear algebra, probability and statistics.
제공자:

성균관대학교
Sungkyunkwan University (SKKU) was established in 1392 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.
강의 계획 - 이 강좌에서 배울 내용
Week 1. CNN Basics
Week 2. Convolution and Pooling
Week 3. Structure of CNNs
Week 4. Recurrent Neural Network
자주 묻는 질문
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Is financial aid available?
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