Using the neural network model that is used by Google, I was able to build a image classification program that was able to distinguish if an image was either a dog, cat, baseball bat, cricket bat, car or truck. The program would use the model to find similarities with the test set that it was given and, with some confidence, give back the classification of the image. The program would also give the user the confidence interval of its classification, to indicate the sureness of its guess. The test images used consisted of around 100 images per category, allowing the program a decent amount of data in order to process a given image.