课程描述
Machine Learning with Javascript is the name of a web development video learning machine using Machine Learning and artificial intelligence. This tutorial sets you up from basic to advanced. You will learn machine learning algorithms from scratch by viewing this course using Javascript and TensorflowJS. This way you will be able to handle real projects as a professional and also be able to manipulate projects.
Machine Learning with Javascript 是使用机器学习和人工智能的网络开发视频学习机的名称。本教程让您从基础到高级。通过使用 Javascript 和 TensorflowJS 观看本课程，您将从头开始学习机器学习算法。通过这种方式，您将能够以专业人士的身份处理实际项目，并且能够操纵项目。
By watching this tutorial you will learn how to design an advanced memory profile to enhance the performance of your algorithms. You will also learn how to start tailor-made programs with the powerful Tensorflow JS library by watching this course. This tutorial will also provide you with easier and cleaner code writing skills.
通过观看本教程，您将了解如何设计高级内存配置文件以增强算法的性能。通过观看本课程，您还将了解如何使用强大的 Tensorflow JS 库启动定制程序。本教程还将为您提供更简单、更清晰的代码编写技巧。
Machine Learning with Javascript course features:
; Javascript 机器学习课程特色：
Dear students, by learning about and learning the lessons in this series, you will first become familiar with the concept of Machine Learning from the introductory level, and then begin to learn the necessary techniques and skills. It also quotes the publisher of this course as a reason to use JavaScript to make it easier than Python programming language. Dear students, you will also have 184 video tutorials.
亲爱的同学们，通过了解和学习本系列课程，您将首先从入门级别熟悉机器学习的概念，然后开始学习必要的技术和技能。它还引用了本课程的发布者作为使用 JavaScript 使其比 Python 编程语言更容易的原因。亲爱的同学们，你们还有184个视频教程。
Course specification:; 课程规格：
- Publisher: Udemy
- 出版商：乌迪米
- Instructor: Stephen Grider
- 教练：斯蒂芬·格里德
- Level: Basic to Advanced
- 级别：基础到高级
- Duration: 17:39:33
- 时长：17:39:33
- Number of lessons: 185 lessons
- 课时数：185课时
- English language
- 英语
Machine Learning with Javascript headings:; 机器学习与 Javascript 标题：
Course content
185 lectures 17:39:33
课程内容 185讲 17:39:33
What is Machine Learning?
9 lectures 40:20
什么是机器学习？ 9 节课 40:20
Overview algorithm
24 lectures 02:28:02
算法概述 24讲 02:28:02
Onwards to Tensorflow JS!
11 lectures 01:14:32
继续使用 Tensorflow JS！ 11 讲座 01:14:32
Applications of Tensorflow
15 lectures 01:38:08
Tensorflow的应用15讲01:38:08
Getting Started with Gradient Descent
12 lectures 01:37:49
梯度下降入门 12 个讲座 01:37:49
Gradient Descent with Tensorflow
13 lectures 01:36:21
使用 Tensorflow 进行梯度下降 13 个讲座 01:36:21
Increasing Performance with Vectorized Solutions
17 lectures 01:52:38
使用矢量化解决方案提高性能 17 个讲座 01:52:38
Plotting Data with Javascript
3 lectures 14:00
使用 Javascript 绘制数据 3 个讲座 14:00
Gradient Descent Alterations
6 lectures 39:31
梯度下降改变 6 个讲座 39:31
Natural Binary Classification
20 lectures 01:36:58
自然二分类 20讲 01:36:58
Multi-Value Classification
13 lectures 01:07:53
多值分类 13 讲 01:07:53
Image Recognition In Action
10 lectures 49:04
图像识别实战 10 个讲座 49:04
Performance Optimization
21 lectures 01:25:01
性能优化 21 讲 01:25:01
Appendix: Custom CSV Loader
10 lectures 39:05
附录：自定义 CSV 加载器 10 个讲座 39:05
Extras
1 lecture 00:21
附加 1 讲座 00:21
prerequisites:; 先决条件：
Basic understanding of terminal and command line usage
对终端和命令行用法的基本了解
Ability to read basic math equations
能够阅读基本的数学方程式
Pictures; 图片
Sample Machine Learning with Javascript movie; 使用 Javascript 电影进行机器学习示例
Media error: Format(s) not supported or source(s) not found
媒体错误：格式不受支持或来源未找到
Installation guide; 安装指南
View with your favorite Player after Extract.
Extract 后与您最喜欢的播放器一起观看。
English subtitle
英文字幕
Quality: 720p
画质：720p
Changes:
变化：
Version 2019/12 has increased by 1 lesson compared to 2018/12.
2019/12版比2018/12版增加了1节课。
Version 2020/4 has not changed compared to 2019/12 and has not been updated.
2020/4 版与 2019/12 版相比没有变化，也没有更新。
