๊ฐ•์˜

๋ฉ˜ํ† ๋ง

์ปค๋ฎค๋‹ˆํ‹ฐ

AI Technology

/

Deep Learning & Machine Learning

Shin Kyung-sik's Deep Learning - Gradient Descent

This is a course that intensively covers gradient descent, the most fundamental learning algorithm in deep learning.

(5.0) 3 reviews

42 learners

Level Basic

Course period Unlimited

  • asdfghjkl13551941
Deep Learning(DL)
Deep Learning(DL)
gradient-descent
gradient-descent
optimization-problem
optimization-problem
PyTorch
PyTorch
python3
python3
Deep Learning(DL)
Deep Learning(DL)
gradient-descent
gradient-descent
optimization-problem
optimization-problem
PyTorch
PyTorch
python3
python3

Shin Kyung-sik's Deep Learning - Gradients Descent Open Announcement

Hello students ๐Ÿ˜ƒ

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 course๐Ÿ˜ƒ

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

Comment