This course is part of the Deep Learning Specialization

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48,974 ratings

Andrew Ng +2 more instructors

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Deep Learning SpecializationDeepLearning.AI

About this Course

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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. 
By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning.

This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience.
 
The Deep Learning Specialization is our 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. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.

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.

Coursera Labs

Includes hands on learning projects.

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Course 3 of 5 in the

Deep Learning Specialization

Beginner Level

At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.

Approx. 6 hours to complete

English

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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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 5 in the

Deep Learning Specialization

Beginner Level

At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.

Approx. 6 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.92/5 (2,672 Ratings)

Offered by

DeepLearning.AI

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Syllabus - What you will learn from this course

Content Rating97%(32,680 ratings)

Week1

Week 1

3 hours to complete

ML Strategy

3 hours to complete

13 videos (Total 100 min), 1 reading, 3 quizzes

13 videos

Why ML Strategy2mOrthogonalization10mSingle Number Evaluation Metric7mSatisficing and Optimizing Metric5mTrain/Dev/Test Distributions6mSize of the Dev and Test Sets5mWhen to Change Dev/Test Sets and Metrics?11mWhy Human-level Performance?5mAvoidable Bias6mUnderstanding Human-level Performance11mSurpassing Human-level Performance6mImproving your Model Performance4mAndrej Karpathy Interview15m

1 reading

Machine Learning Flight Simulator2m

1 practice exercise

Bird Recognition in the City of Peacetopia (Case Study) 1h 15m

Week2

Week 2

4 hours to complete

ML Strategy

4 hours to complete

11 videos (Total 132 min), 1 reading, 2 quizzes

11 videos

Carrying Out Error Analysis10mCleaning Up Incorrectly Labeled Data13mBuild your First System Quickly, then Iterate6mTraining and Testing on Different Distributions10mBias and Variance with Mismatched Data Distributions18mAddressing Data Mismatch10mTransfer Learning11mMulti-task Learning12mWhat is End-to-end Deep Learning?11mWhether to use End-to-end Deep Learning10mRuslan Salakhutdinov Interview17m

1 reading

Acknowledgments10m

1 practice exercise

Autonomous Driving (Case Study) 1h 15m

Reviews

4.8

5643 reviews

5 stars
82.87%
4 stars
13.70%
3 stars
2.81%
2 stars
0.47%
1 star
0.13%

TOP REVIEWS FROM STRUCTURING MACHINE LEARNING PROJECTS

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.

by MASep 13, 2020

Andrew Ng, awesome teaching technique and well-designed course content make it easier for deep learning beginner to learn how to structure your machine project smoothly and do not lost in a process.

by YLNov 28, 2017

It's a great course! This course gave me a lot of new perspectives in constructing a machine learning project. Especially, the discussion of data distribution in the train/dev/test set is fantastic.

by APJun 20, 2019

Really a good course with mostly the theoretical knowledge on some aspects to reuse your model as well as some error analysis. Thoroughly taught with lots of real-life examples, thanks to Andrew Ng.

View all reviews

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.

In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. AI is transforming many industries. The Deep Learning Specialization provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career. Along the way, you will also get career advice from deep learning experts from industry and academia.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
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.

More questions? Visit the Learner Help Center.

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Structuring Machine Learning Projects

About this Course

Skills you will gain

Instructors

Andrew Ng
Top Instructor

Younes Bensouda Mourri
Top Instructor

Kian Katanforoosh
Top Instructor

Offered by

DeepLearning.AI

Syllabus - What you will learn from this course

ML Strategy

ML Strategy

Reviews

TOP REVIEWS FROM STRUCTURING MACHINE LEARNING PROJECTS

About the Deep Learning Specialization

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Structuring Machine Learning Projects

About this Course

Skills you will gain

Instructors

Andrew NgTop Instructor

Younes Bensouda MourriTop Instructor

Kian KatanforooshTop Instructor

Offered by

DeepLearning.AI

Syllabus - What you will learn from this course

ML Strategy

ML Strategy

Reviews

TOP REVIEWS FROM STRUCTURING MACHINE LEARNING PROJECTS

About the Deep Learning Specialization

Frequently Asked Questions

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Andrew Ng
Top Instructor

Younes Bensouda Mourri
Top Instructor

Kian Katanforoosh
Top Instructor