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University of DenverDigital Commons @ DU Electronic Theses and DissertationsGraduate Studies112019Applied Deep Learning in Orthopaedics William Stewart Burton II University of DenverFollow this and
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Applied deep learning refers to the practical application of deep learning algorithms and techniques to solve real-world problems in various fields such as healthcare, finance, natural language processing, and computer vision.
Individuals or organizations utilizing deep learning techniques in their projects or products may be required to document and report their applied deep learning activities, especially in regulated industries or academic contexts.
Filling out an applied deep learning report typically involves detailing the methodologies used, the datasets applied, the results obtained, and any compliance measures taken concerning ethical standards and regulations.
The purpose of documenting applied deep learning is to ensure transparency, facilitate reproducibility of results, meet regulatory standards, and share knowledge within the research and business community.
Information that must be reported includes a description of the problem being addressed, the data sources used, the deep learning models implemented, performance metrics, and ethical considerations regarding data usage.
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