DL Architectures Implementations

This repository contains my implementations using Pytorch of the DNN architectures that were introduced in the Deep Learning Course at Roma Tre University. Below is illustrated the structure of this project:

.
├── docs
│   └── architectures
├── models
│   ├── AlexNet
│   └── ...
├── README.md
├── requirements.txt
└── train
    ├── data
    ├── data_loader.py
    ├── CIFAR10
    └── ...

• docs: pictures that shows the architecture of the implemented models
• models: architectures implementation with pytorch
• train: various script used for training, the only task shown is classification