Image Classification Challenge, using Transfer Learning and Deep Learning Studio

Image classification is the task of recognizing objects or patterns on an image and assign a category to classify the image based on a pool of given categories/classes. There are a lot of different sub fields like recognizing multiple objects on a single image or even localize the objects within the image. In this post, I want to share with you my experience competing in my first image classification challenge as well as using the Deep Learning Studio(DLS) platform. DLS provides at a high abstraction level, a graphical interface to build and train deep neural networks based on backends like keras / tensorflow / theano and others, for free with a desktop or cloud application. If you have never heard or used DLS go check out this post by Rajat or try it out at DeepCognition.ai.