Online Course
An Introduction to Practical Deep Learning
Found in
Deep Learning Courses
- Provider Coursera
- Cost Free Online Course (Audit)
- Session Upcoming
- Language English
- Certificate Paid Certificate Available
- Effort 3-5 hours a week
- Duration 6 weeks long
- Learn more about MOOCs
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Overview
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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.
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.
Syllabus
Introduction to Deep Learning and Deep Learning Basics
Convolutional Neural Networks (CNN), Fine-Tuning and Detection
Recurrent Neural Networks (RNN)
Training Tips and Multinode Distributed Training
Hot Research and Intel's Roadmap
Final Quiz
Convolutional Neural Networks (CNN), Fine-Tuning and Detection
Recurrent Neural Networks (RNN)
Training Tips and Multinode Distributed Training
Hot Research and Intel's Roadmap
Final Quiz
Taught by
Nikhil Murthy and Andres Rodriguez
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Review for Coursera's An Introduction to Practical Deep Learning Based on 1 reviews
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Sylvia S
by
Sylvia
completed this course, spending 6 hours a week on it and found the course difficulty to be medium.
I completed this course after taking and completing the Machine Learning Course taught by Andrew Ng. Therefore, I must admit that I was a bit disappointed. Without the ML course taught by Andrew Ng, I would not had understood much of this course. But I did not learn a lot new things.
If you have already taken the before mentioned Machine Learning course, I would not recommend taking this one.
If you have already taken the before mentioned Machine Learning course, I would not recommend taking this one.
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