There has been a recent surge in popularity of Deep Learning, achieving state of the art performance in various tasks like Language Translation, playing Strategy Games and Self Driving Cars requiring millions of data points. One common barrier for using deep learning to solve problems is the amount of data needed to train a model. The requirement of large data arises because of the large number of parameters in the model that machines have to learn. Deep Learning is nothing but Large Neural networks, they can be thought of as a flow chart where data comes in from one side and inference/knowledge comes out the other. You can also break the neural network, pull it apart and take the inference out from wherever you please.

Man has always been fascinated with a view of the world from the top -- building watch-towers, high fortwalls, capturing the highest mountain peak. To capture a glimpse and share it with the world, people went to great lengths to defy gravity, enlisting the help of ladders, tall buildings, kites, balloons, planes, and rockets. Today, access to drones that can fly as high as 2kms is possible even for the general public. These drones have high resolution cameras attached to them that are capable of acquiring quality images which can be used for various kinds of analysis. With easier access to drones, we're seeing a lot of interest and activity by photographers & hobbyists, who are using it to make creative projects such as capturing inequality in South Africa or breathtaking views of New York which might make Woody Allen proud.