课程描述
Machine Learning with Javascript, name of the training video series in the field of learning science, data, and machine learning can be. You, in fact, in this course with the use of JavaScript and TensorflowJS and by doing actual projects and practical to be an expert in the field of machine learning convert, you will. Because of the use of JavaScript to learn the machine, the simplicity of it compared to learning to help Python can be. You at the end of this course and learn training provided the skills, machine, and science data to form your incredible improve, you will.
Machine Learning with Javascript，学习科学、数据和机器学习领域的培训视频系列的名称。事实上，你在本课程中通过使用 JavaScript 和 TensorflowJS 并通过实际项目和实践成为机器学习领域的专家，你将会。因为是用JavaScript来学习机器，相对于学习帮助Python来说，它的简单性还可以。你在本课程结束时学习培训提供的技能、机器和科学数据来形成你的惊人进步，你会的。
You in the course of the algorithm the basic machine learning will learn. Unlike other courses, that for training the machine learning of algorithms and executive functions in pre-made use, in this course we try to all content as the principles you taught. This theme helps you the techniques of machine learning to well, learn. This course for Java developers to script that intend to learn the machine, it. is suggested.
你在算法的过程中将学习基本的机器学习。与其他课程不同的是，在预制使用中训练机器学习算法和执行功能，在本课程中，我们尝试将所有内容作为您教授的原则。这个主题可以帮助您更好地学习机器学习技术。本课程针对Java 开发人员编写脚本，即打算学习机器，它。建议。
Cases in which the course is taught:; 课程教学案例：
- Learning and familiarity with machine learning algorithms
- 学习并熟悉机器学习算法
- Learn how to build applications to help Javascript and ML
- 了解如何构建应用程序以帮助 Javascript 和 ML
- Learn how to work with machine learning without relying on libraries
- 了解如何在不依赖库的情况下使用机器学习
- Familiarity with Tensorflow JS and familiarity with its application in work
- 熟悉Tensorflow JS并熟悉其在工作中的应用
- Learning and understanding the principles of elementary Linear Algebra
- 学习和理解初等线性代数的原理
- And…
- 和…
Profile course in Machine Learning with Javascript; 使用 Javascript 进行机器学习的简介课程
- Language : English
- 英语语言
- Time duration : 17:39:34
- 持续时间：17:39:34
- Number of lessons: 185
- 课时数：185
- Instructor : Stephen Grider
- 讲师：斯蒂芬·格里德
- File format : mp4
- 文件格式：mp4
This course; 这个课程
Course content
185 lectures 17:39:34
课程内容 185讲 17:39:34
What is Machine Learning?
9 lectures 40:20
什么是机器学习？ 9 节课 40:20
Algorithm Overview
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 Kill the vectorized Solutions
17 lectures 01:52:38
通过 Kill 向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 00:12
附加 1 讲座 00:12
Prerequisite course; 先修课程
- 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
- 阅读能力，基本数学方程式
Images; 图片
Sample videos Machine Learning with Javascript; 示例视频 使用 Javascript 进行机器学习
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
After the Extract with the Player your custom view.
在使用播放器提取您的自定义视图之后。
Subtitles: English
字幕：英文
Quality: 720p
画质：720p
