Shin Kyung-sik's Deep Learning - Gradient-based Linear Regression (1)

Hello students 😃

From basics to professional level, systematically covering deep learning - [Shin Kyungsik's Deep Learning] fourth lecture [Gradient-based Linear Regression (2)] is now open!

(Course Link: https://inf.run/ymv1P)

This is a lecture where you learn how to implement the code directly implemented in Gradient-based Linear Regression (1) into practical code using PyTorch's features. It is also a lecture where you theoretically learn about the necessity of data preprocessing, theory, and its impact on learning, and implement it with practical code.

Those following my All About AI curriculum would benefit from taking advantage of the open discount period😃

Additionally, the follow-up lecture [Gradient-based Linear Regression (3)] is scheduled to open sometime next week.

I will always do my best so that we can work together diligently to create a deep learning world!

Thank you.

Best regards, Shin Kyung-sik

Hello students 😃

From basic to professional level, systematically covering deep learning - [Shin Kyung-sik's Deep Learning] third lecture [Gradient-based Linear Regression (1)] is now open!

(Course Link: https://inf.run/KgQoQ)

This lecture covers the process of training the simplest model on data, based on the previously opened [Gradient Descent].

We're currently offering an opening commemoration discount, so those following my curriculum should take advantage of this period to register for the course😃

Additionally, the follow-up lecture [Gradient-based Linear Regression (2)] is scheduled to open this week.

I will always do my best so that we can work together diligently to create a deep learning world!

Thank you.

Best regards, Shin Kyung-sik