About this Course

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Learner Career Outcomes

33%

started a new career after completing these courses

33%

got a tangible career benefit from this course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 12 hours to complete

Suggested: 3-5 hours/week...

English

Subtitles: English

Learner Career Outcomes

33%

started a new career after completing these courses

33%

got a tangible career benefit from this course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 12 hours to complete

Suggested: 3-5 hours/week...

English

Subtitles: English

Instructors

Image of instructor, Andres Rodriguez

Andres Rodriguez 

Sr. Principal Engineer
Intel
10,438 Learners
1 Course
Image of instructor, Nikhil Murthy

Nikhil Murthy  

10,438 Learners
1 Course
Image of instructor, Hanlin Tang

Hanlin Tang 

Principal Engineer
Intel AI Products Group
10,438 Learners
1 Course

Offered by

Intel logo

Intel

Syllabus - What you will learn from this course

Week
1

Week 1

5 hours to complete

Introduction to Deep Learning and Deep Learning Basics

5 hours to complete
4 videos (Total 64 min), 3 readings, 1 quiz
4 videos
Exercise 1: Introduction to Deep Learning5m
Deep Learning Basics37m
Exercise 2: Deep Learning Basics2m
3 readings
Welcome!5m
Additional Resources (Optional)10m
Additional Resources (Optional)10m
1 practice exercise
Introduction to Deep Learning and Deep Learning Basics30m
Week
2

Week 2

4 hours to complete

Convolutional Neural Networks (CNN), Fine-Tuning and Detection

4 hours to complete
4 videos (Total 44 min), 2 readings, 1 quiz
4 videos
Exercise 3: Convolutional Neural Networks1m
Fine-Tuning and Detection13m
Exercise 4: Fine-Tuning and Detection2m
2 readings
Additional Resources (Optional)10m
Additional Resources (Optional)10m
1 practice exercise
Convolutional Neural Networks, Fine-Tuning and Detection30m
Week
3

Week 3

3 hours to complete

Recurrent Neural Networks (RNN)

3 hours to complete
2 videos (Total 20 min), 1 reading, 1 quiz
2 videos
Exercise 5: Recurrent Neural Networks2m
1 reading
Additional Resources (Optional)10m
1 practice exercise
Recurrent Neural Networks30m
Week
4

Week 4

2 hours to complete

Training Tips and Multinode Distributed Training

2 hours to complete
3 videos (Total 18 min), 2 readings, 1 quiz
3 videos
Exercise 6: Training Tips1m
Multinode Distributed Training11m
2 readings
Additional Resources (Optional)10m
Additional Resources (Optional)10m
1 practice exercise
Training Tips and Multinode Distributed Training30m
4.3
16 ReviewsChevron Right

Top reviews from An Introduction to Practical Deep Learning

By ABOct 11th 2019

I thank Coursera and the instructors for guiding through the basics of Deep Learning. The explanations were easy to understand, and would recommend this course to enthusiasts.

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 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. 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.