About this Course
4.8
20,818 ratings
2,378 reviews
Specialization

Course 3 of 5 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 7 hours to complete

Suggested: 2 weeks of study, 3-4 hours/week...
Available languages

English

Subtitles: English, Chinese (Traditional), Chinese (Simplified), Korean, Turkish...

Skills you will gain

Machine LearningDeep LearningInductive TransferMulti-Task Learning
Specialization

Course 3 of 5 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 7 hours to complete

Suggested: 2 weeks of study, 3-4 hours/week...
Available languages

English

Subtitles: English, Chinese (Traditional), Chinese (Simplified), Korean, Turkish...

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 hours to complete

ML Strategy (1)

...
Reading
13 videos (Total 100 min), 1 reading, 1 quiz
Video13 videos
Orthogonalization10m
Single number evaluation metric7m
Satisficing and Optimizing metric5m
Train/dev/test distributions6m
Size of the dev and test sets5m
When to change dev/test sets and metrics11m
Why human-level performance?5m
Avoidable bias6m
Understanding human-level performance11m
Surpassing human-level performance6m
Improving your model performance4m
Andrej Karpathy interview15m
Reading1 reading
Machine Learning flight simulator2m
Quiz1 practice exercise
Bird recognition in the city of Peacetopia (case study)45m
Week
2
Hours to complete
3 hours to complete

ML Strategy (2)

...
Reading
11 videos (Total 132 min), 1 quiz
Video11 videos
Cleaning up incorrectly labeled data13m
Build your first system quickly, then iterate6m
Training and testing on different distributions10m
Bias and Variance with mismatched data distributions18m
Addressing data mismatch10m
Transfer learning11m
Multi-task learning12m
What is end-to-end deep learning?11m
Whether to use end-to-end deep learning10m
Ruslan Salakhutdinov interview17m
Quiz1 practice exercise
Autonomous driving (case study)45m
4.8
Career direction

35%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course
Career promotion

14%

got a pay increase or promotion

Top Reviews

By AMNov 23rd 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 TRSep 22nd 2018

This is a must course in the entire specialization. It covers the step by step procedure to approach and solve a problem. The case studies provided are real world problems which are so much helpful.

Instructors

Avatar

Andrew Ng

CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
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Head Teaching Assistant - Kian Katanforoosh

Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec
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Teaching Assistant - Younes Bensouda Mourri

Mathematical & Computational Sciences, Stanford University, deeplearning.ai

About deeplearning.ai

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

About the Deep Learning Specialization

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....
Deep Learning

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.