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321. Convolutional Neural Networks in One Dimension

This course kicks off a machine vision sequence, starting out with all the fundamentals of convolutional neural networks in one dimension for maximum clarity. We will extend Cottonwood to handle convolutional architectures and apply it to classifying electrically-measured heartbeats as healthy or irregular

This course is under construction. Expected completion date is June 1, 2020. In the meantime, you can pre-purchase at a discounted price of 6 USD. (It will be 9 USD when complete.) Or you can get access to ALL the courses for 9 USD per month.


Your Instructor


Brandon Rohrer
Brandon Rohrer

I love solving puzzles and building things. Machine learning lets me do both. I got started by studying robotics and human rehabilitation at MIT (MS '99, PhD '02), moved on to machine vision and machine learning at Sandia National Laboratories, then to predictive modeling of agriculture DuPont Pioneer, and cloud data science at Microsoft. At Facebook I worked to get internet and electrical power to those in the world who don't have it, using deep learning and satellite imagery and to do a better job identifying topics reliably in unstructured text. Now at iRobot I work to help robots get better and better at doing their jobs. In my spare time I like to rock climb, write robot learning algorithms, and go on walks with my wife and our dog, Reign of Terror.


Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!