A machine learning algorithm based on Convolutional Neural Networks to identify dog breeds.
Goal of the project is to learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
