Chancellors Hall, Room 114 (William and Mary), Chancellors Hall, Williamsburg, 23185
William & Mary - Williamsburg, United States
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.
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.
April 21 – 22, 2022
11:00 PM – 12:00 AM UTC
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