JavaScript Machine Learning TensorFlow.js
It covers machine learning concepts within the JavaScript environment. It covers the patterns and code for implementing machine learning with JavaScript and TensorFlow.js.
강의소개.상단개요.수강생.short
난이도 중급이상
수강기한 무제한
새소식
4 개
I've opened a Rust course.
Course title: Rust Build-up
https://inf.run/Kf18JDiscount from 132,000 won to 66,000 won.
Infrun -> https://inf.run/qWkMV
If you take the video class, you will receive the instructor's (domestic + amazon.com) first machine learning tensorflow.js book for free.
Kyobo Bookstore -> https://product.kyobobook.co.kr/detail/S000001979191
The purpose of this offer is to promote machine learning (tensorflow.js) in a JavaScript environment.
Judging from the Korean names in the tensorflow.js related emails, we can see that tensorflow.js is also being used in Korea.
In the AI era, it will become lifelong knowledge.
The course is entry level.
Give it a try.
Discounted from 286,000 won to 66,000 won.
Coupon Number: 18017-6f46d368e6d5
Lecture URL: https://inf.run/DWc1
The steep discount is intended to highlight the importance of requirements analysis.
Even if you only get a few things out of the course, the ROI is well worth it given the importance of requirements analysis.
Requirements analysis is really difficult.
Because it is the beginning of creating something from nothing.
Since requirements analysis is the foundation, it must be performed very precisely.
I don't want to think about a faulty requirements analysis.Following the "React Beginner" course, we have opened the "Complete React" course.
Like other open courses, it is "broad, deep, and detailed", covering more than 95% of the official React documentation.Beginners can learn it completely, and experienced people can organize it from various angles.
In particular, you can learn how to write a UI scenario first and then develop a React app based on it.
This is the 10th lecture. I will continue to work hard to create more informative lectures.
