User:Ian hynes

http://symilarity.com Deep learning (DL) is essentially a component of Machine Learning (ML) that extends ML capabilities across multi-layered neural networks to go beyond just categorizing data. DL can actually learn, unsupervised, basically from massive amounts of data. With DL, it’s possible to combine the unique ability of computers to process massive amounts of information quickly, with the human-like ability to take in, categorize, learn, and adapt. Together, these skills allow modern DL software to perform advanced tasks, such as identifying fraud from unstructured claims forms.