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.
Python 3.x TensorFlow Keras Matplotlib NumPy
- Clone the repository git clone https://github.com/mynameankita/skin_cancer.git cd skin_cancer 2.Install dependencies: pip install -r requirements.txt
Notebook.py : Skin Cancer detection model README.md: Project documentation.
This project is licensed under the MIT License - see the LICENSE file for details.
This project was inspired by TensorFlow and Keras documentation and tutorials. Dataset used in this project: Skin Cancer MNIST: HAM10000.