This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading.
An Introduction to Practical Deep Learning
IntelAbout 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
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 17 hours to complete
English
Subtitles: English
Learner Career Outcomes
33%
started a new career after completing these courses
33%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 17 hours to complete
English
Subtitles: English
Offered by
Intel
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Syllabus - What you will learn from this course
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
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
3 hours to complete
Recurrent Neural Networks (RNN)
3 hours to complete
2 videos (Total 20 min), 1 reading, 1 quiz
1 reading
Additional Resources (Optional)10m
1 practice exercise
Recurrent Neural Networks30m
2 hours to complete
Training Tips and Multinode Distributed Training
2 hours to complete
3 videos (Total 18 min), 2 readings, 1 quiz
2 readings
Additional Resources (Optional)10m
Additional Resources (Optional)10m
1 practice exercise
Training Tips and Multinode Distributed Training30m
Reviews
TOP REVIEWS FROM AN INTRODUCTION TO PRACTICAL DEEP LEARNING
by AAJul 11, 2020
It is a challenge for me to devote time and attend the course in spite of the administrative works. I had a different experience in learning. All the lectures were well presented and with quality.
by ABOct 10, 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.
by MEFeb 21, 2019
well it has been a good course for me to get an overall view on Deep learning , but there was so much information in every video that was hard to grasp from the first time
by SRJun 29, 2020
This course was very helpful to understand practical application and training on Deep Learning
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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 purchase the Certificate?
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.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.
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