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Skin-Cancer

Overview

This project demonstrates how to train a Convolutional Neural Network (CNN) using TensorFlow and Keras for image classification tasks. The CNN model is trained to classify images into different categories using a dataset of skin cancer images.

Requirements

Python 3.x TensorFlow Keras Matplotlib NumPy

Installation

  1. Clone the repository git clone https://github.com/mynameankita/skin_cancer.git cd skin_cancer 2.Install dependencies: pip install -r requirements.txt

File Structure

Notebook.py : Skin Cancer detection model README.md: Project documentation.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

This project was inspired by TensorFlow and Keras documentation and tutorials. Dataset used in this project: Skin Cancer MNIST: HAM10000.