Automated Weather Classification using Transfer Learning
DOI:
https://doi.org/10.48047/m274c409Keywords:
Deep learning, Convolutional Neural Networks (CNNs), TensorFlow, Machine Learning Algorithms, HTML, CSS, and JavaScript (Frontend Web Development), FlaskAbstract
Climate classification plays a significant part in different applications, counting agribusiness, fiasco
administration, and transportation. Conventional climate classification strategies depend on handcrafted
highlights and routine machine learning strategies, which frequently battle with generalization over different
climate conditions. In this venture, we propose an Mechanized Climate Classification framework utilizing
Exchange Learning to use pre-trained profound learning models for precise and proficient classification.
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