Pacific Northwest Software Symposium

November 8 - 10, 2019

Machine Learning: Deep Learning

Sunday - Nov 10 9:00 AM

Brian Sletten

Brian Sletten

Forward Leaning Software Engineer

Deep Learning is an evolution of the capabilities of more conventional machine learning to take advantage of the extra data available from Big Data systems. With more data, many of the manual aspects of feature selection and other machine learning steps can be derived automatically. We will highlight many of the main deep learning frameworks and give you a hands on introduction to what is possible and how you can start to use them.

We will cover:

  • Basic Neural networks
  • Recurrent neural networks
  • Convolutional neural networks
  • Deep Learning frameworks such as TensorFlow, Pytorch, H20, DeepLearning4J and more.

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About Brian Sletten

Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.