Image Recognition of Cifar-10 and MNIST using Tensorflow
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy A.I
What things you need to have ready for the algorithm to work
- Have an IDE (I recommend PyCharm)
- Download the Cifar-10 dataset from https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
- Have Python 3.X installed
The installation process is usually short. You need to have prepared the prerequisites that are above
Download the script, create a project folder for it and paste it inside
Unzip the Cifar-10 and create a folder inside the project folder exactly called cifar-10-data
Copy all the files inside the Cifar-10 zip and paste them in the cifar-10-data folder. (the files are called data_batch_1, data_batch_2, ..)
I recommend reading the code from the script to haver a better understanding of how it works. In future updates, I'm going to add coments so the code is more clear
- TensorFlow - Open-source software library for dataflow
- MNIST - Dataset of hand-written numbers
- Cifar-10 - Dataset of images
Please contact me before planning to contribute
- Monchi Estevez - Develepor - monchi
This project is licensed under the MIT License - see the LICENSE.md file