This is a repository for Data Science Connect 11.
The notebook showcases the strengths of transfer learning and data augmentation.
Install conda at https://docs.conda.io/projects/conda/en/latest/user-guide/install/
Clone or download this repository.
Navigate to this the project directory in command prompt.
conda create --name <any_environment_name> --file conda_requirements.txt
conda activate <environment_name>
jupyter notebook
- Delete everything in data folder.
- Create a folder for each class and place the images in the corresponding classes e.g. cat images in cat folder.
- Place your class folders in data folder.
- Run the notebook.
- Enjoy!
https://colab.research.google.com/drive/1CP668xo1Zsah3EMO3uXZeiAzyb3vSMTq