Deep Learning as an off-shoot of Machine Learning which itself is a sub-field of Artificial Intelligence relies solely on advancements in emerging computing Technologies which provide the computing capacity for running large scale data processing ; most importantly these include (i.e. but not limited to)advanced high level computing power and myriad data acquisition Sources as the ubiquitous Sensors proliferating the technology space of portable computing devices and IoT.

Sensors Technology help in data collection in several be-spoke ways for these emerging computing technologies(since without data computers are famished typically and with deep learning sufficient data is basically needed)to be able to perform deep learning operations required for inferencing useful informative insights from crude-data.

Today data is being generated in an unprecedented manner, as a result of the emergence of several sensor technologies; this has become the leverage for all deep learning computations and its successes today.

In this Paper review i will be overviewing and discussing how these emerging sensors technology has been able to complement the computing power today to facilitate deep Learning technologies.