Table of Contents
This project implements three types of networks with PyTorch
and uses the cifar10
and MNIST
Dataset for training and testing model.
In this phase network is designed for MNIST
dataset. Finall accuracy is 0.9682.
All further information about architecture of models and results are saved in the notebook.
In this phase network is designed for cifar10
dataset. Finall accuracy is 0.7462.
All further information about architecture of models and results are saved in the notebook.
it does not work well :(
In this phase network is designed for cifar10
dataset. Finall accuracy is 0.9090.
All further information about architecture of models and results are saved in the notebook.