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Part 2: Plant Leaf Disease Prediction Streamlit Application Machine Learning CNN by Mahesh Huddar
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Machine Learning - Part 2: Plant Leaf Disease Prediction Streamlit Application Machine Learning CNN by Mahesh Huddar

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  • 47.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Part 2: Plant Leaf Disease Prediction Streamlit Application Machine Learning CNN Keras TensorFlow by Mahesh Huddar Download Source Code: https://www.vtupulse.com/product/plant-leaf-disease-detection-project-source-code/ Download Final Year Projects: https://vtupulse.com/download-final-year-projects/ Part 1 (Model Building): https://www.youtube.com/watch?v=148eu_foNo8 Part 2 (Streamlit Application): https://www.youtube.com/watch?v=UeKa1I2LWjc The main aim of this project is to create a convolutional neural network (CNN) that will predict whether a plant leaf is suffering from a disease or not. CNN classification model is trained, validated, and tested with different layers and other hyperparameters. CNN is built using TensorFlow and Keras. Download Final Year Project Source Code: https://vtupulse.com/download-final-year-projects/ The following concepts are discussed: ______________________________ Plant Leaf Disease detection, plant leaf disease detection using image processing, plant disease detection streamlit app, streamlit app for disease, how to run a streamlit app, streamlit machine learning app, plant leaf disease detection using image processing python code, plant leaf disease detection project, python streamlit, streamlit apps, streamlit tutorial ******************************** 1. Blog / Website: https://www.vtupulse.com/ 2. Like Facebook Page: https://www.facebook.com/VTUPulse 3. Follow us on Instagram: https://www.instagram.com/vtupulse/ 4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates

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