Demystifying Deep Learning: A Simplified Approach in MATLAB
In this overview, Brett Shoelson will demonstrate MATLAB® features that simplify the complex tasks required to implement deep learning solutions without the need for low-level programming. In doing so, he’ll explore concepts of deep learning by building and training neural networks to recognize and classify objects, as well as to figure out the drivable area in a city environment.
Along the way, you’ll see MATLAB features that make it easy to:
- Manage extremely large sets of images
- Import and use pretrained models like Alexnet or GoogLeNet
- Perform classification and pixel-level semantic segmentation on images
- Automate manual effort required to label ground truth
Recorded: 2 May 2018
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