Challenges in Deep Learning – Hacker Noon

@machinelearnbot 

Deep Learning algorithms mimic human brains using artificial neural networks and progressively learn to accurately solve a given problem. Training a data set for a Deep Learning solution requires a lot of data. Industry level Deep Learning systems require high-end data centers while smart devices such as drones, robots other mobile devices require small but efficient processing units. Deep Learning models, once trained, can deliver tremendously efficient and accurate solution to a specific problem.