Ask the Expert Webinar Series

What Are Convolutional Neural Networks and How Are They Used for Computer Vision?

On-Demand • Cost: Complimentary

About the webinar

Computer vision technologies are being used in new applications and incorporated across industries to solve both familiar and unfamiliar problems.

For some tasks, computer vision models have surpassed human accuracy.

In this webinar, you will learn the building blocks of a convolutional neural network and how to apply one to solve computer vision tasks through a demonstration.

We will also go beyond the convolutional neural network model to discuss important considerations for image transformations and transfer learning to reduce model data bias.

You will learn:

  • The important components of a convolutional neural network: convolution layers, pooling layers, padding and types of skip layers.
  • Important consideration for input augmentation.
  • Transfer learning and transfer learning bias.

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About the Expert


Robert Blanchard
Principal Data Scientist, SAS

Robert builds end-to-end artificial intelligence applications and researches, consults and teaches machine learning with an emphasis on deep learning and computer vision. He is the author of an introductory book on computer vision and several professional courses on neural networks, deep learning and optimization modeling. Robert previously worked under the Senior Vice Provost at North Carolina State University, where he built models about student success, faculty development and resource management.

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