Machine Learning – Introduction to the Microsoft CNTK v2.0 Library
Machine Learning – Introduction to the Microsoft CNTK v2.0 Library
November 30, 2017

Almost everybody today is aware of one of the best technology like that of artificial intelligence and have come across many times, however for those who don’t know what AI is then here’s a little information. “It is a simulation of human intelligence processes by machines, especially computer systems”, it particularly involves planning, understanding language, recognizing objects and sounds, learning and problem-solving. For anybody holding a business, it helps in identifying pattern in a data more efficiently than humans, thus facilitating more understandings out of their data.


Similarly, the recent technology that you can closely link AI with is “Machine Learning”. It is the newest addition in the field of technology, particularly a branch of artificial intelligence based on a concept that machines should be able to learn and adapt through experience. One of the important and everyday examples where machine learning is applied is fraud detection. Machine learning provides aid in our day to day life but what has surely made it work so efficiently is the Microsoft cognitive services. It is a set of APIs (Application programming interface) that works with machine learning algorithms to provide application developers with intelligent features like image and voice recognition, face identification, and language understanding. Since the machine learning application has worked well so far with Microsoft CNTK v1, the developers have come up with Microsoft CNTK v2.0. Library.


But let me first brief about what exactly is Microsoft Cognitive Toolkit. This Microsoft Cognitive Toolkit (CNTK) is a powerful, open source library which can be used to create machine learning prediction models. It enables enterprise-ready, production-grade AI which allows users to create, train, and evaluate their own neural networks. It enables the user to scale efficiently across multiple GPUs and multiple machines on massive data sets.


Previously the only version of toolkit available was Microsoft Cognitive Toolkit v1 but now 2.0 version of the toolkit which started in October 2016 is available for production workloads. It is an upgraded version of Microsoft Cognitive Toolkit v1 which includes Keras support that runs on the cognitive toolkit, Java bindings and sparks support for model evaluation, and model compression. These add-on features have highly increased the speed for evaluating a trained model on CPUs as well as improved performance making it the fastest deep learning framework.


Due to the new add-on features, performance improvements and fixes the performance of cognitive toolkit was recorded the best amongst other similar platforms. It has made its mark on almost all the sectors. To name a few




This toolkit is used mainly by transportation organization, delivery companies and for public transportation. It primarily helps in analyzing data for identifying patterns and trends and aims at making routes more efficient and identifying problems to increase profitability.


Marketing and sales


Microsoft cognitive toolkit also aids in capturing data, analyzing it and personalizing the shopping experience for its user.


It is probably the best investment you can make if you want to grow and expand your business to a large extent. It is the viable option for those who wish to have a cost-effective solution for their business.


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