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istanbul-technical-university

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Welcome to the Flower Recognition Using Convolutional Neural Network project! This repository features a deep learning model designed to accurately classify and recognize different flower species using Convolutional Neural Networks (CNNs). The project utilizes the MobileNetV2 architecture for its efficiency in image recognition tasks.

  • Updated Jun 18, 2024
  • Jupyter Notebook

This project classifies urban noise using machine learning models such as DNN, CNN, LSTM, and Random Forest. Utilizing the UrbanSound8K dataset, it aims to accurately identify different urban sounds, aiding in noise monitoring and management. Key features include robust model comparison and real-time deployment potential.

  • Updated Jun 15, 2024
  • Jupyter Notebook

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