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Image with program details: Date April 3-17, 2021. Price 950 - regular price. 875 - UVA Alumni, Faculty, Staff, or Group of 3 +. Location: Online - Live or On Demand. This program is intended for individuals with working knowledge of Python as well as a strong foundation in mathematical concepts such as: variables, linear equations, graphs of functions, histograms, and statistical means.

Program Details

In partnership with the UVA School of Engineering.

This three week online experience will enable you to articulate concepts, algorithms, and tools to build intelligent systems while formulating various supervised and unsupervised models. You’ll be able to apply practical skill sets on designing, deploying, and analyzing deep network architectures on complex real-world problems. 

Program topics include big data preprocessing and handling, deep neural network design and optimization, image classification with convolutional neural nets, sequence modeling with recurrent neural nets, generative learning with generative adversarial nets, and deploying deep learning models to scale.

Agenda

  • On Demand Learning (April 3-17)
    • Videos and self-paced tutorials
  • Live Virtual Learning 
    • April 3, 2021: 1:00-5:00 PM ET
      • Introduction
      • Networking
      • Entropy, Decision Making, and Learning Algorithms
      • Data Processing and Handling
      • Neural Networks
    • April 10, 2021: 1:00-4:30 PM ET
      • Convolutional Neural Nets for Image Classification
      • Sequence Learning with Recurrent Neural Nets
      • Data Generation
      • Deploying Deep Learning Model to Scale
    • April 17, 2021: 1:00-4:30 PM ET
      • Industry Lightning Talk
      • Demo Day
      • Industry Feedback
        • Confirmed industry experts from Capital One, S&P Global, and Morgan Stanley
    • April 3-17: Group project working sessions (as needed)

Faculty

Nada Basit - Assistant Professor, UVA Department of Computer Science

Headshot of Nada Basit

N. Rich Nguyen - Assistant Professor, UVA Department of Computer Science

Rich Nguyen