Pytorch daily challenges

Why

1. Because of lack of comprehensive guides of how to use Pytorch on simple task this repo should be helpful.
2. At the very early stage I decided to implement simple vonv nets classifiers to show how Pytorch behave and
3. to learn how to deal with predictions/transforms on single images.

Description

Repositories contain:

• data loader section
• Model Architecture section
• Model training
• Prediction on single image

Mnist cnns

Flower detection

• Dataset

• FLower dataset

Results

As you can see, pretrain model which you can download from folder is not something we can be proud of. So you have to treat it like an real toy example as far as it was trained with only 10 epochs :)

Jokes generator

Short jokes generator using RNN.

• dataset

https://www.kaggle.com/abhinavmoudgil95/short-jokes

LeNEt 5

• based on MNIST dataset

• Network architecture: click

GAN

27062019

Add GAN Implementation