Intel's Optimized Tools and Frameworks for Machine Learning and Deep Learning

Machine learning (ML) is a subset of the more general field of artificial intelligence (AI). ML is based on a set of algorithms that learn from data. Deep learning (DL) is a specialized ML technique that is based on a set of algorithms that attempt to model high-level abstractions in data by using a graph with multiple processing layers (https://en.wikipedia.org/wiki/Deep_learning). ML, and in particular DL, are currently used in a growing number of applications and industries, including image and video recognition/classification, face detection, natural language processing, and financial forecasting and prediction. A convenient way to work with DL is to use the Intel's optimized ML and DL frameworks. Using Intel optimized tools and frameworks to train and deploy deep networks guarantees that these tools will use Intel architecture in the most efficient way.