课程描述
Deep Learning and Computer Vision , name of the training video series in the field of data analysis and in the branches, deep learning and vision, a computer can be. Course, you from introductory levels to advanced, to start training will you to view the course video only requires having information math High School want to be. Of course, it is worth you to observe and learn better the concepts and training provided in this course, video, etc. requires having a minimum knowledge programming Python, want to be.
Deep Learning and Computer Vision，数据分析领域和分支中的培训视频系列名称，深度学习和视觉，一台计算机即可。当然，你从入门级到高级，开始培训将你观看课程视频只需要有数学高中想要的信息。当然，值得您更好地观察和学习本课程中提供的概念和培训、视频等需要具备最低限度的 Python 编程知识，想要成为。
You view and receive this course is a tool box full of the most powerful models in Computer Vision at your disposal, you\’ll see. Also in this course, attempts have been made to you by finishing the course to a master and expert OpenCV program. Learn vision computer (Deep Learning and Computer Vision), the easiest way to become a creator would be.
您查看并收到本课程是一个工具箱，里面装满了计算机视觉中最强大的模型供您使用，您会看到。同样在本课程中，已尝试通过完成课程成为大师级和专家级的 OpenCV 程序来为您提供帮助。学习视觉计算机（Deep Learning and Computer Vision），成为创造者最简单的方法。
Technical courses for Deep Learning and Computer Vision :
; 深度学习和计算机视觉技术课程：
- Tutorials, beginner to advanced, Deep Learning and Computer Vision in simple language
- 教程，从初学者到高级，深度学习和计算机视觉，语言简单
- Share tool box full of the most powerful models in Computer Vision
- 共享工具箱，其中包含计算机视觉中最强大的模型
- Convert you to a specialist, and master OpenCV
- 将您转变为专家并掌握 OpenCV
- Create software powerful to help the Visual Computer (Computer Vision)
- 创建强大的软件来帮助视觉计算机（Computer Vision）
- And…
- 和…
The characteristics of Deep Learning and Computer Vision :
; 深度学习和计算机视觉的特点：
- Publisher: Udemy
- 出版商：乌迪米
- Instructor: Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team
- 讲师：Hadelin de Ponteves、Kirill Eremenko、SuperDataScience 团队
- Level: introductory to advanced
- 级别：入门到高级
- Time: 11:03:33
- 时间：11:03:33
- Number of courses: 83 lesson
- 课时数：83课
- Language: English
- 英语语言
Course content
83 lectures 11:03:33
课程内容 83讲 11:03:33
Introduction
5 lectures 03:53
简介 5 个讲座 03:53
Module 1 – Face Detection, Intuition
8 lectures 01:10:44
第 1 单元 – 人脸检测、直觉 8 个讲座 01:10:44
Module 1 – Face Detection with OpenCV
9 lectures 57:37
第 1 单元 – 使用 OpenCV 进行人脸检测 9 个讲座 57:37
Homework Challenge – Build a Happiness Detector
3 lectures 19:50
家庭作业挑战——构建幸福检测器 3 个讲座 19:50
Module 2 – Object Detection, Intuition
5 lectures 44:14
第 2 单元 – 目标检测、直觉 5 个讲座 44:14
Module 2 – Object Detection with SSD
11 lectures 01:34:22
第 2 单元 – 使用 SSD 进行目标检测 11 个讲座 01:34:22
Homework Challenge – Detect Epic Horses galloping in Monument Valley
3 lectures 15:20
家庭作业挑战——侦测在纪念碑谷疾驰的史诗马 3 讲座 15:20
Module 3 – Generative Adversarial Networks (GANs) Intuition
6 lectures 44:19
第 3 单元 – 生成对抗网络 (GAN) 直觉 6 个讲座 44:19
Module 3 – Image Creation with GANs
14 lectures 02:01:44
第 3 单元 – 使用 GAN 进行图像创建 14 个讲座 02:01:44
Annex 1: Artificial Neural Networks
9 lectures 01:30:11
附件1：人工神经网络9讲01:30:11
Annex 2: Convolutional Neural Networks
9 lectures 01:40:47
附件2：卷积神经网络9讲01:40:47
Bonus lectures
1 lecture 00:29
奖金讲座 1 讲座 00:29
Requirements; 要求
Only High School Maths
Basic Python programming knowledge
只有高中数学基础 Python 编程知识
Images of Deep Learning and Computer Vision :; 深度学习和计算机视觉的图像：
Sample movie; 样片
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
Changes:
变化：
Version 2020/2 compared to 2018/11 at least 2 lessons and a 50 MB increase.
2020/2 版与 2018/11 版相比至少增加了 2 节课和 50 MB 的容量。
