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Built a CNN-based image classification system with data preprocessing, model training, evaluation, and result visualization using accuracy curves and confusion matrix for reliable image recognition.

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PACKIARAJ-R/ML-Image-Classification-using-CNN

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ML Image Classification using CNN

This project demonstrates an image classification system built using a Convolutional Neural Network (CNN).

πŸ“Œ Project Overview

The model is trained to classify images into different categories using deep learning techniques.

🧠 Technologies Used

  • Python
  • TensorFlow / Keras
  • CNN (Convolutional Neural Networks)
  • NumPy
  • Matplotlib

πŸ“‚ Project Structure

  • Images_Classification_using_CNN.ipynb – Training and evaluation notebook
  • README.md – Project documentation

πŸš€ How to Run

  1. Install dependencies - requirements.txt
  2. Run the notebook

πŸ“Š Results

  • Model accuracy achieved during training
  • Confusion matrix and performance metrics included in notebook

πŸ“ Dataset

  • Kaggle

✨ Author

PACKIARAJ-R

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Built a CNN-based image classification system with data preprocessing, model training, evaluation, and result visualization using accuracy curves and confusion matrix for reliable image recognition.

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