Browsing Department of Computational and Data Sciences (CDS) by Subject "Machine learning"

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Novel Neural Architectures based on Recurrent Connections and Symmetric Filters for Visual Processing

Agrawal, Harish

Artificial Neural Networks (ANN) have been very successful due to their ability to extract meaningful information without any need for pre-processing raw data. First artificial neural networks were created in essence to ...