CIFAR10_Image_Classifier

This project is an Image Classifier for the CIFAR-10 dataset containing 10 different image classes - airplanes, automobiles, birds, cats, deer, dogs, frogs, horses, ships, and trucks.

Image Source

Project folder includes

1. Readme.md (this file)
2. Google colab notebook for building, training and testing a Convolutional Neural Network on the CIFAR-10 dataset.
3. Misc
   • CIFAR-10 overview image

Programming language and Libraries used

1. Python programming language
2. Deep learning libraries tensorflow 2.x and Keras API
3. Python libraries including numpy, etc

Notes

1. Purpose of this project is to demonstrate how to build, train and evaluate a simple CNN model for classifying images in the cifar-10 dataset