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. You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics.
An Introduction to Practical Deep Learning
Offered By
An Introduction to Practical Deep Learning
Intel
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
Learner Career Outcomes
33%
started a new career after completing these courses
33%
got a tangible career benefit from this course
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Flexible deadlines
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Intermediate Level
Approx. 12 hours to complete
Suggested: 3-5 hours/week
English
Subtitles: English
Instructors
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
4.3
16 ReviewsTop reviews from An Introduction to Practical Deep Learning
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.
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