Convolutional Neural Networks Workshop

Chancellors Hall, Room 114 (William and Mary), Chancellors Hall, Williamsburg, 23185

Convolutional Neural Networks, best known for their success in object recognition and image classification tasks, is one of the best examples of introducing domain specific knowledge into the architecture of a model. In this workshop we will see how Convolutional Networks beat Vanilla Neural Networks in situations where we have raw data as input.

Apr 21, 2022, 11:00 PM – Apr 22, 2022, 12:00 AM

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Key Themes

Machine Learning

About this event

Convolutional Neural Networks, best known for their success in object recognition and image classification tasks, is one of the best examples of introducing domain specific knowledge into the architecture of a model. In this workshop we will see how Convolutional Networks beat Vanilla Neural Networks in situations where we have raw data as input. 

When

When

April 21 – 22, 2022
11:00 PM – 12:00 AM UTC

Organizers

  • Charlie Dobson

    GDSC Lead

  • Alex Batts

    Co-lead

  • Colleen Polka

    Vice Lead: Workshops

  • Jason LaPierre

    Vice Lead: Consulting

  • Aniedi Udo-Obong

    Regional Leader

  • Cheyenne Hwang

    Co-Lead

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