Shin Kyung-sik's Deep Learning - Gradient Descent

Hello, I'm Engineering Hyung😃

Starting today, I plan to upload deep learning-based computer vision lectures at a fast pace!

The first course, [Image Basics for Computer Vision], which covers the essential image fundamentals you must master before learning computer vision, has been released.

And a free course [Introduction to Computer Vision], which provides a brief introduction to computer vision, has also been released.

Image Basics for Computer Vision: https://inf.run/8x7Xn

Introduction to Computer Vision: https://inf.run/EzBfS

More than 10 computer vision lectures are scheduled to be uploaded during this May, so please stay tuned😃

PS) Since I am currently in a situation where I need to create the computer vision lectures immediately, I will produce the basic deep learning lectures in parallel with the computer vision lectures starting from mid-June.

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

Hello students 😃

From basic to professional level, systematically covering deep learning - [Shin Kyung-sik's Deep Learning] second lecture [Gradient Descent] is now open!

(Lecture Link: https://inf.run/bK5xe)

This lecture is based on the previously opened [Gradients and PyTorch's Autograd] and covers the most fundamental learning algorithm in deep learning,

It focuses intensively on gradient descent.

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

Additionally, the next lecture [Gradient-based Linear Regression (1)] is scheduled to open this weekend.

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