Deep learning is a rapidly growing segment of artificial intelligence. It is increasingly used to deliver near-human level accuracy for image classification, voice recognition, natural language processing, sentiment analysis, recommendation engines, and more. Applications areas include facial recognition, scene detection, advanced medical and pharmaceutical research, and autonomous, self-driving vehicles.
Join NVIDIA’s deep learning experts for a free online course. This introductory course is comprised of five instructor-led classes that include interactive lectures, hands-on exercises, and office hours with the instructors.
You’ll learn everything you need to design, train and integrate neural network-powered artificial intelligence into your applications with widely-used open source frameworks and NVIDIA software.
This is an introductory course, so previous experience with deep learning and GPU programming is not required.
All classes start at 9am PT and will be recorded for later viewing.
|7/22||Class #1 - Introduction to Deep Learning (30 mins + Q&A)|
|7/29||Office Hours for Class #1 (1 hour of Q&A)|
|8/5||Class #2 - Getting Started with DIGITS interactive training system for image classification (30 mins + Q&A)|
|8/12||Office Hours for Class #2 (1 hour of Q&A)|
|8/19||Class #3 - Getting Started with the Caffe Framework|
|8/26||Office Hours for Class #3|
|9/2||Class #4 - Getting Started with the Theano Framework|
|9/9||Office Hours for Class #4|
|9/16||Class #5 - Getting Started with the Torch Framework|
|9/23||Office Hours for Class #5|
Please send your questions to firstname.lastname@example.org before the Office Hours sessions, so the instructors can prepare helpful answers. You might even get a faster response!
The hands-on lab exercises for each class will be available at nvidia.qwiklab.com for free during the course.
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