Fine-Tuning Method for Deep Learning - Tripathi, Richa;Padalia, Diwakar
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This book aims to flood detection to recognize flooding-related photographs from web-based media. These photographs, related with their geological areas, can give free, ideal, and dependable visual data about flood occasions to the judgment producer. This screening framework, intended for utilization to web-based media pictures, incorporates a few key modules: tweet/picture computerize, flooding photograph discovery, and Web GIS utilization for human check. In this investigation, a preparation dataset of 4800 flooding photographs was built dependent on an fine-tuning mechanism utilizing deep…mehr

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Produktbeschreibung
This book aims to flood detection to recognize flooding-related photographs from web-based media. These photographs, related with their geological areas, can give free, ideal, and dependable visual data about flood occasions to the judgment producer. This screening framework, intended for utilization to web-based media pictures, incorporates a few key modules: tweet/picture computerize, flooding photograph discovery, and Web GIS utilization for human check. In this investigation, a preparation dataset of 4800 flooding photographs was built dependent on an fine-tuning mechanism utilizing deep leaning (DL) created and prepared to recognize flooding photographs. The framework was planned such that the DL can be re-prepared by a bigger preparing dataset when extra expert confirmed flooding photographs are being added to the preparation set in an insistent way.
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Autorenporträt
Richa Tripathi completed her Masters in Computer Science Engineering. Her field of interests are analytics, SQL and Python.Diwakar Padalia obtained his Ph.D. in 2011. He is currently conducting research and teaching at K.R. Mangalam University, India. His focus lies within the realm of dielectrics nanomaterials and nanomagnetism.