课程信息

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学生职业成果

36%

完成这些课程后已开始新的职业生涯

38%

通过此课程获得实实在在的工作福利

14%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 3 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为5 小时
英语(English)
字幕:中文(繁体), 中文(简体), 韩语, 土耳其语(Turkish), 英语(English), 西班牙语(Spanish)...

您将获得的技能

Machine LearningDeep LearningInductive TransferMulti-Task Learning

学生职业成果

36%

完成这些课程后已开始新的职业生涯

38%

通过此课程获得实实在在的工作福利

14%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 3 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为5 小时
英语(English)
字幕:中文(繁体), 中文(简体), 韩语, 土耳其语(Turkish), 英语(English), 西班牙语(Spanish)...

提供方

deeplearning.ai 徽标

deeplearning.ai

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up97%(22,826 个评分)Info
1

1

完成时间为 2 小时

ML Strategy (1)

完成时间为 2 小时
13 个视频 (总计 100 分钟), 1 个阅读材料, 1 个测验
13 个视频
Orthogonalization10分钟
Single number evaluation metric7分钟
Satisficing and Optimizing metric5分钟
Train/dev/test distributions6分钟
Size of the dev and test sets5分钟
When to change dev/test sets and metrics11分钟
Why human-level performance?5分钟
Avoidable bias6分钟
Understanding human-level performance11分钟
Surpassing human-level performance6分钟
Improving your model performance4分钟
Andrej Karpathy interview15分钟
1 个阅读材料
Machine Learning flight simulator2分钟
1 个练习
Bird recognition in the city of Peacetopia (case study)45分钟
2

2

完成时间为 3 小时

ML Strategy (2)

完成时间为 3 小时
11 个视频 (总计 132 分钟)
11 个视频
Cleaning up incorrectly labeled data13分钟
Build your first system quickly, then iterate6分钟
Training and testing on different distributions10分钟
Bias and Variance with mismatched data distributions18分钟
Addressing data mismatch10分钟
Transfer learning11分钟
Multi-task learning12分钟
What is end-to-end deep learning?11分钟
Whether to use end-to-end deep learning10分钟
Ruslan Salakhutdinov interview17分钟
1 个练习
Autonomous driving (case study)45分钟

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关于 深度学习 专项课程

If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI....
深度学习

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