Deep Learning

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.

Deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics and drug design, where they have produced results comparable to and in some cases superior to human experts.

Deep learning, in Wikipedia. Retrieved 2/24/2018

Position on the Adoption Curve

Presentations about Deep Learning

Artificial Intelligence DevRel @NVIDIA Alison Lowndes

Fuelling the AI Revolution with Gaming

Developer at; Open Source Contributor in DuckDuckGo, GitHub and Pandas Sahil Dua

Tools to Put Deep Learning Models in Production

Developer Advocate at Google Cloud and PMC Chair for Apache Groovy Guillaume Laforge

Machine Intelligence at Google Scale