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An Introduction to Practical Deep Learning

An Introduction to Practical Deep Learning

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8.5/10 (Our Score)
Product is rated as #126 in category Machine Learning

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. The Intel® Developer Zone offers tools and how–to information to enable cross–platform app development through platform and technology information, code samples, and peer expertise in order to help developers innovate and succeed. Join communities for the Internet of Things, Artificial Intelligence, Virtual Reality, Persistent Memory & Game Dev to download tools, access dev kits, share ideas with like–minded developers, and participate in hackathons, contests, roadshows, and local events.

Instructor Details

Andres Rodriguez is a Sr. Principal Engineer working with the Intel's Data Center Group (DCG) where he designs deep learning solutions for Intel’s customers and provides technical leadership across Intel for deep learning products. He has 13 years of experience working in artificial intelligence. Andres received his PhD from Carnegie Mellon University for his research in machine learning, and prior to joining Intel, he was a DL research scientist with the Air Force Research Laboratory and adjunct professor at Wright State University. He holds over 20 peer reviewed publications in journals and conferences, and a book chapter on machine learning.

Specification: An Introduction to Practical Deep Learning

Duration

12 hours

Year

2018

Level

Intermediate

Certificate

Yes

Quizzes

Yes

16 reviews for An Introduction to Practical Deep Learning

4.1 out of 5
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  1. Brad C

    Love this course!! Thanks.

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  2. Dongliang Y

    Great course

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  3. Emil L

    A very dense and informative course.

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  4. Shubham r

    Good for theory knowledge , but very low in practical knowledge

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  5. Ehtesham H

    Excellent learning experience. Thank you…

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  6. Mohammed S E

    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

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  7. Ambar R

    very good

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  8. RAMA R R

    Thank you Intel and Coursera

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  9. Ramakrishna B C

    This course is not worth the time and money. I would suggest doing any of courses in the Andrew Ng’s deeplearning.ai specialization instead. No programming assignments that’s evaluated here. No instructor or TA are active in the forums. No questions are answered in the discussion forums. Many courses in deep learning are available online where you can actually learn something by getting hands on.

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  10. Praveen k

    No projects! The knowledge level is good though.

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  11. Gunjan B

    Tough Enough To Remove Dust Of Time From Your Brain. Quizes Were Good Brain Exercise

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  12. Raveesh G

    The theoretical aspect is good for those aiming at basics but the neon exercises are average. The data sets should be readily imported or there should at least be one standard method to import any kind of data set. Except for this part, the exercises complemented the videos.

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  13. Anirban L

    Awesome experience

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  14. B B B

    Very good course with practical aspects

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  15. Aditya B

    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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  16. Robert G

    Exercises do not work. Nervana is deprecated.

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    An Introduction to Practical Deep Learning
    An Introduction to Practical Deep Learning

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