리액트 훅(React Hook)으로 만드는 웹앱
최광성
모던 프론트엔드 프레임워크 중 가장 인기있는 React(리액트), 하지만 배우기가 어렵습니다. 이를 해결하기 위해 훅(Hook)이 나왔습니다. 본 강의는 훅을 이용해 React를 쉽게 배울 수 있도록 도와드립니다.
초급
React, 웹앱
Essential Tensorflow Mathematics You Must Know
Tensorflow uses a complex graph structure even for simple arithmetic. Why? Because Tensorflow needs derivatives when performing Gradient Descent. Graph structure is a means to easily derive those derivatives. I've mathematically explained why.
What you will learn!
You can learn derivative derivation.
Implement Gradient Descent in Python.
Learn gradient descent, a deep learning algorithm, via a mathematical approach.
Deep learning in Tensorflow is ultimately an algorithm that performs gradient descent.
What is gradient descent?
It is a process of finding the minimum value of a graph, roughly like the figure above.
This lecture explained gradient descent from a mathematical approach.
Explaining an algorithm without using mathematics may be convenient at first glance, but it is difficult to understand clearly.
Gradient descent explained with easy math.
* If you feel that the lecture is slow, we recommend listening at 1.25 or 1.5x speed.
Recommended for
these people
Who is this course right for?
Those wanting a mathematical approach to Machine Learning.
Tensorflow - Interested
Need to know before starting?
None.
5,038
Learners
117
Reviews
29
Answers
3.8
Rating
9
Courses
- 현) 리얼메이커 수석 개발자
- 전) CCG 수석 개발자
- 전) VARDOT 소프트웨어 엔지니어, 드루팔 개발자
- 전) 반도체 에칭 시뮬레이션 책임 개발자
Curriculum
All
14 lectures ∙ (1hr 44min)
Published:
Last updated:
Reviews
All
1 reviews
$22.00
kwangsung's other courses
Check out other courses by the instructor!
