In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.
This course is part of the Deep Learning Specialization
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Offered By
Deep Learning SpecializationDeepLearning.AIAbout this Course
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Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
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Start instantly and learn at your own schedule.
Course 3 of 5 in the
Beginner Level
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.
Approx. 10 hours to complete
English
Subtitles: Chinese (Traditional), Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish
Skills you will gain
- Deep Learning
- Inductive Transfer
- Machine Learning
- Multi-Task Learning
- Decision-Making
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 5 in the
Beginner Level
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.
Approx. 10 hours to complete
English
Subtitles: Chinese (Traditional), Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish
Offered by
DeepLearning.AI
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Syllabus - What you will learn from this course
5 hours to complete
ML Strategy
Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities.
5 hours to complete
13 videos (Total 100 min), 1 reading, 3 quizzes
5 hours to complete
ML Strategy
Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning.
5 hours to complete
11 videos (Total 132 min), 1 reading, 2 quizzes
Reviews
- 5 stars82.81%
- 4 stars13.77%
- 3 stars2.80%
- 2 stars0.47%
- 1 star0.12%
TOP REVIEWS FROM STRUCTURING MACHINE LEARNING PROJECTS
by KKAug 19, 2021
Very helpful tips for navigating possible problems that would likely occur while building/training a model. The "pilot-training" exercieses, that mimick real-life problems / projects, are excellent !
by AMNov 22, 2017
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
by NCMay 10, 2020
Really a good course and got an insight into how to structure a machine learning project and some useful techniques for deep learning, such as transfer learning, multi-task, and end-to-end learning
by NINov 10, 2017
Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.
About the Deep Learning Specialization
The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.
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