Car Models Classification using data set in Kaggle

This project uses PyTorch, torchvision package and transfer learning to train pre-trained model to identify the car models. The pre-trained model use here was ResNet (Residual Neural Network). The cars dataset contains 16,185 images of 196 classes of cars.

• Jupyter Notebooks
• PyTorch
• Libraries: numpy, matplotlib.pyplot