CNN classifier for Intel images
Project description.
The project main goal was to train a CNN model in order to classify the dataset images to one of the following categories:
1-Forest
2-Sea
3-Mountian
4-Street
5-Glacier
6-Buildings
The model scored an accuracy with 85 percent and the notebook got the bronze medal from Kaggle.