Image Classifier project with CIFAR10 Dataset

Project code for Udacity's Introduction to Machine LEarning with PyTorch" Nanodegree program.

Information to the project

The task was to build a neural network with pytorch to evaluate the CIFAR-10 dataset and to get a better accuracy than 70% (like a competitor).

Explanation

There are the following files to use:

• Image Classifier Project.ipynb: This is the Jupyter Notebook i developed the code and trained the classifier. For submission a html-file is included.

Acknowledgements

This project was the second project at the Udacity Nanodegree program "Introduction to Machine Learning with PyTorch". I am super thankful for this experience and proud to be certified with this nanodegree program.

License

This project is open source and available under the [Udacity License]