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.

Learn how to add tests to Spring! Then, learn how to change the Spring design to make testing more natural.

Now that you know a little about Spring and JPA, what should you study and how to grow in the future? Are you studying design patterns to study design and just memorizing the patterns? I'll help you!