The first online course to teach C# developers how to create deep learning applications in C# with CNTK neural networks
This course will introduce you to Deep Learning and Neural Networks and get you up to speed with Microsoft's Cognitive Toolkit (CNTK) library.
You will build a solid foundation in deep learning and learn how to design, train, and evaluate deep neural networks. You'll be building C# applications from day one and I will provide you with all the source code, libraries, and data sets you need to get going.
I will coach you in our private support group where you can hang out with your fellow students and upload homework assignments.
Check out this short introduction video that explains the core concepts of neural networks and how to use them in C#:
“I found that participating on such a well-taught course was an awesome experience for me. I love the fact that we can all learn and help each other at a global scale. I think you are gifted teacher as well as f***ing amazing technically skilled. It was truly an enlightening experience”
Yoav Kaplan, course student
HERE'S WHAT YOU'LL GET
22 Video Lectures
Source Code & Data sets
81 Text Lessons
11 Homework Assignments
Private Support Group
24-Hour Response Time
Check out this complimentary lecture in which I will show you how to build a Hotdog Detector in C# using a deep convolutional neural network.
Installing NET Core 3.0
Installing Visual Studio Code
What is deep learning?
Predict taxi fares in New York
Deep Neural Networks
Visualizing hidden layers
Training deep neural networks
Predict house prices in California
Sign up today, and if for any reason you don’t like the course, or decide it’s not for you, just let me know no later than 30 days after your purchase date.
I’ll give your money back, no questions asked.
“After hearing about neural networks for years without actually using them, I am proud to say I have successfully trained and used my first neural network – in C#. Thank you so much, Mark. Neural Networks are ridiculously awesome!”
Joel Dokmegang, course student
FREQUENTLY ASKED QUESTIONS
1. Course FAQs
i. I’m a complete beginner in Machine Learning. Are the courses going to be right for me?
Absolutely! The only thing you need to know is how to build simple console applications in C#. Everything else I will teach you step by step. In fact the sooner you enroll, the faster you will get the results that you want.
ii. How much time will it take to go through a course?
Each course contains roughly 6 weeks of content. We encourage you to dedicate at least 2 hours per weekday for about six weeks to keep up with daily assignments.
iii. What if I can’t keep up with the group?
You have lifetime access to all videos and files that come with the course, so you can learn at your own pace.
And if you get stuck you can always just post a question in the support group and the students or I will help you out.
2. Support FAQs
i. Is there support as I go through the program?
You will have daily supervision from me, your instructor. You also have access to a private support group where you can ask questions on a daily basis and get them answered, meet other students and collaborate with them.
ii. What if this program doesn’t meet my needs?
I offer a full one-month money-back guarantee. If you don’t agree that this course is worth every penny I said it was, I will promptly refund your money. No questions asked. No hassle. You have my word on it.
3. Program FAQs
i. How is this program different from other courses?
This course is unique. There is no other course on the market that will teach you how to build machine learning apps in C#.
You will be building machine learning apps from day one. You’ll ‘learn by doing’ and master key ML skills on the fly as you’re coding complex applications. This hands-on approach will have you learn new skills much faster than any other course that only uses text content or training videos.
4. Misc FAQs
i. What if I have a question that’s not on this FAQ list?
I’m here to help and want you to be completely comfortable with your investment. Just drop me an email with any questions you may have, at firstname.lastname@example.org