This contains introduction to python, scripting and libraries such as pandas, numpy and matplotlib. The course briefs about the working of neural networks and their implementation using pytorch.
The repo contains my solutions and notebooks in exercise. Please follow original course for more details. This is just for reference purposes.
It has following projects and these are my solutions, (please refer to udacity's repository for original files),
- PyTorch Introduction Exercises
- Dog Breeds Classification using Pretrained networks(VGG16, Alexnet, ResNet)
- Flower Image Classification