In this project, I have used TensorFlow to implement a CNN model, because TensorFlow allows us to make the most of the available hardware with asynchronous computation, but it is possible to implement this model using standared tools like R/Matlab or Other Python libraries as well. Using the implemented code, and a preinitialized random seed, the model perform with an accuracy of 96% correct prediction on images on the test and validation dataset.