中This course covers fundamental concepts of convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which are widely used in computer vision and natural language processing areas.
Fundamentals of CNNs and RNNs
您将学到什么
Deep learning
Convolutional neural network
Recurrent neural network
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
5 项作业
授课语言：韩语
了解顶级公司的员工如何掌握热门技能
该课程共有5个模块
涵盖的内容
1个视频1篇阅读材料1个作业
涵盖的内容
1个视频1篇阅读材料1个作业
涵盖的内容
1个视频1篇阅读材料1个作业
涵盖的内容
1个视频1个作业
涵盖的内容
1个视频1个作业
位教师
授课教师评分
4.8 (8个评价)
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状态：免费试用
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学生评论
4.4
38 条评论
- 5 stars
76.92%
- 4 stars
7.69%
- 3 stars
5.12%
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0%
- 1 star
10.25%
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WB
5
已于 May 1, 2021审阅
Korean lecture. His explanation is very good. Easy to understand but simple deep learning concepts are required.한국어 강의라서 매우 이해하기 쉽습니다. 설명을 아주 쉽게해주십니다. 한국인 분들에게는 추천합니다.
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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