This course requires a basic understanding of deep learning and machine learning concepts.

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This course is ideal for those who want to focus on theory and context rather than practice, aiming to organize their knowledge of deep learning in depth and grasp the big picture. It makes the mathematical and statistical foundations of deep learning easy to understand and provides intuitive interpretations of key modern models—such as AutoEncoder, GAN, Transformer, and AlphaGo—from a developer's perspective.

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Deep Learning for Developers

Deep Learning(DL)

딥러닝

Statistics

통계

딥러닝모델

인공지능

입문

초급

중급이상

Machine Learning(ML)

Probability and Statistics

Deep Learning Overview

Probability and Statistics for Deep Learning

Model Analysis