Skip to content

Training a Convolutional Neural Network (using PyTorch) that will help to identify each cloth to match the perfect design you created. In order to train it, you decide to rely on the dataset fashion MNIST.

Notifications You must be signed in to change notification settings

ketanchaudhari32/Classification-of-fashionMNIST-using-Convolutional-Neural-Network

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

Classification-of-fashionMNIST-using-Convolutional-Neural-Network

Training a Convolutional Neural Network (using PyTorch) that will help to identify each cloth to match the perfect design you created. In order to train it, you decide to rely on the dataset fashion MNIST.

Pre-requisites to run code:

  1. Python
  2. torchvision -- pip install torchvision
  3. pytorch -- conda install pytorch torchvision torchaudio -c pytorch
  4. matplotlib -- pip install matplotlib

While running the code, check if internet is connected to download the FashionMNISt dataset commandline if not downloaded.

To run model using different activation function Uncomment the code with respective activation function under the class Net init function

Comment dropout layer line 64 if need to run model without dropout layer

About

Training a Convolutional Neural Network (using PyTorch) that will help to identify each cloth to match the perfect design you created. In order to train it, you decide to rely on the dataset fashion MNIST.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages