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
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Intel
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.
강의 계획 - 이 강좌에서 배울 내용
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
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AN INTRODUCTION TO PRACTICAL DEEP LEARNING의 최상위 리뷰
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.
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.
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
Exceptional course by exceptional people Really clarified my understanding of deep learning\n\nTruly awesome course
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