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An Introduction to Graph Convolution Neural Networks and Background Theory
Posting Date(s)
Date
10 November, 11:00am-1:00pm Atlantic
The session introduces various machine learning and mathematical concepts leading up to GCNNs. Topics include various architectures of neural networks, such as feed-forward, convolutional and recurrent, and some of the mathematical theory underpinning their operations, with explanations of why each network is used. All are welcome, regardless of technical expertise. DETAILS & REGISTER
