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 - Gradients Descent Open Announcement
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