Image Recognition with 10 lines of code

With the rise and popularity of deep learning algorithms, there has been impressive progress in the field of Artificial Intelligence, especially in Computer Vision. The second decade of the 21st century has seen rapid adoption of Convolutional Neural Networks, invention of state-of-the-art algorithms, availability of massive training data and the invention of high performance and cost effective compute. One of the key concepts in Computer Vision is image classification; which is the ability of a software system to label correctly the dominant object in an image. Systems powered by current state-of-the-art algorithms have surpassed human capabilities in identifying objects in images, and this technology is being widely used by technology giants, large businesses and governments for purposes such as intelligent applications, websites, weather, research, surveillance and more. However, the technology, just like the early days of computing and the world wide web is beyond the reach of prospective developers, programmers, small scale businesses and individuals that will largely benefit from it.