Shin Kyung-sik's Deep Learning - Gradients and PyTorch's Autograd
This is a course where you learn the basic calculus and PyTorch's Autograd functionality needed to get started with deep learning.
73 learners
Level Basic
Course period Unlimited
Shin Kyung-sik's Deep Learning - Gradient-based Linear Regression (2) Open Announcement
Hello students ๐
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 period๐
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