In this post I’m going to summarize the work I’ve done on Text Recognition in Natural Scenes as part of my second portfolio project at Data Science Retreat. The importance of image processing has increased a lot during the last years. Especially with the growing market of smart phones people has started producing a huge … Continue reading Image Text Recognition in Python →
Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation. TensorFlow is a new framework released by Google for numerical computations and neural networks. In this blog post, we are going to demonstrate how to use TensorFlow and Spark together to train and apply deep learning models.
(Phys.org)—A team at the University of Central Missouri, headed by Curtis Cooper has announced, via press release from the Mersenne organization, that they have found the largest prime number ever—it is 274,207,281 – ...
This post is not a tutorial on C++11 threads, but it uses them as the main threading mechanism to demonstrate its points. It starts with a basic example but then quickly veers off into the specialized area of thread affinities, hardware topologies and performance implications of hyperthreading. It does as much as feasible in portable C++, clearly marking the deviations into platform-specific calls for the really specialized stuff.
Principle 6 of the International Co-operative Alliance calls for ‘co-operation amongst co-operatives’. Yet, for many co-ops, finding other worker owned businesses to work with can be challenging. Although there are over 7,000 co-operatives in the UK, and many more worldwide, it can be challenging to find out much about them.
Today we’re excited to announce Spark Datasets, an extension of the DataFrame API that provides a type-safe, object-oriented programming interface. Spark 1.6 includes an API preview of Datasets, and they will be a development focus for the next several versions of Spark. Like DataFrames, Datasets take advantage of Spark’s Catalyst optimizer by exposing expressions and data fields to a query planner. Datasets also leverage Tungsten’s fast in-memory encoding. Datasets extend these benefits with compile-time type safety – meaning production applications can be checked for errors before they are run. They also allow direct operations over user-defined classes.
Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers yahoolabs: “ By Suju Rajan Data is the lifeblood of research in machine learning. However, access to truly large-scale datasets...
Introduction There is no doubt that neural networks, and machine learning in general, has been one of the hottest topics in tech the past few years or so. It's easy to see why with all of the really interesting use-cases...
Sirius is an open end-to-end standalone speech and vision based intelligent personal assistant (IPA) similar to Apple’s Siri, Google’s Google Now, Microsoft’s Cortana, and Amazon’s Echo. Sirius implements the core functionalities of an IPA including speech recognition, image matching, natural language processing and a question-and-answer system. Sirius is developed by Clarity Lab at the University of Michigan. Sirius is published at the International Conference on Architectural Support for Programming Languages and Operating Systems
2015 has been a year of tremendous growth for Apache Spark. The pace of development is the fastest ever. We went through 4 releases (Spark 1.3 to 1.6) in a single year, and each of them added hundreds of improvements.
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