Feedback

Up Next:

Sebastian Castro and Kurt Talke introduce the BeagleBone Blue hardware and demonstrate how it can be programmed using Simulink for robotics applications.
18:17
Programming BeagleBone Blue with Simulink
View full series (9 Videos)

Related Videos:

Explore the fundamentals of deep learning and its use to solve computer vision problems. Through several examples we review typical object recognition workflows using convolutional neural networks.
36:50
Deep Learning for Computer Vision with MATLAB
Jon discusses the tasks involved in deep learning or a convolutional neural net, as well as the tools, communities, and processes available to speed up these tasks and create a robust solution.
7:35
Deep Learning for Computer Vision with MATLAB (Highlights)
Learn how MATLAB addresses common challenges encountered while developing object recognition systems and see new capabilities for deep learning, machine learning, and computer vision.
27:59
Deep Learning for Computer Vision
Learn how machine learning tools in MATLAB(R) can be used to solve regression, clustering, and classification problems.
3:02
Machine Learning with MATLAB Overview
In this webinar, Associate Professor Kathleen Meehan of Virginia Tech demonstrates how professors and course instructors can use MATLAB and Digilent Analog Discovery hardware to teach hands-on laboratory experiments in the area of circuit analysis.  
35:00
Hands-on Learning with MATLAB and Analog Discovery

View more related videos