Convolutional Neural Networks Architecture: A Tutorial
Ortiz, Julian M.
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Deep learning techniques have found an increasing number of applications in the field of geosciences. Among the most applied ones, Convolutional Neural Networks stand out by their ability to extract features from grid-like topological inputs, enriching the information fed to prediction models, improving their accuracies. This tutorial seeks to explain step by step the building blocks of Convolutional Neural Networks and how their inner parameters are trained in order to effectively extract features.