Cancer detection using image classification (Convolutional Neural Networks)

Classifying tumorous images and non-tumorous images using Convolutional Neural Networks.

Code index:

1. Importing libraries
2. Sampling the data for balanced classes and splitting into train and validation
3. Creating directories for training and validation
4. Move the images in the appropriate folders
5. Data augmentation of images and conversion to tensors
6. Model compilation and training
7. Prediction on test set images