Milestone CNN Models Implementations
Implementations of Milestone Convolutional Neural Network Models.

Motivation
To gain a deeper understanding behind some of the models used in Computer Vision and to practice my Pytorch coding skills, I started implementing popular CNN models.
Responsibilities
- Re-create CNN models from scratch in Pytorch
- Attempt to reproduce similar results (accuracies) on the CIFAR10 dataset
Papers implemented so far:
- VGG (https://arxiv.org/abs/1409.1556)
- ResNet34 (https://arxiv.org/pdf/1512.03385.pdf)
- DenseNet (https://arxiv.org/pdf/1608.06993.pdf)
Technologies Used:
- Languages: Python (Pytorch)