Explore the fundamentals of deep learning and its use to solve computer vision problems. Through several examples, we will review typical object detection and object recognition workflows using convolutional neural networks.

Highlights include:

• Accessing and managing large sets of images
• Leveraging the use of pre-trained networks for feature extraction
• Using standard computer vision techniques to augment the use of deep learning
• Speeding up the training process using GPUs and Parallel Computing Toolbox

This webinar highlights the use of MATLAB as well as some popular community toolboxes for deep learning.

Note: Deep learning functionality was added to Deep Learning Toolbox in release 2016a. See the release notes for details.