Neural Programming

A method of motion recognition of sparse self-assembled spatio-temporal convolution neural networks and its parallelization in Xiamen University Sanding in order to improve the performance of spatiotemporal convolution neural networks, a sparse self combination strategy is proposed for the combination of the input feature map of the convolution layer. By adding sparsity restrictions to the input feature graph, the convolution layer can automatically learn the best feature graph combination as input, compared with the traditional manual setting method, the complicated steps of manual setting are omitted, the experiment shows that the spatiotemporal convolution neural network with sparse self combination strategy has better characteristic learning ability and classification ability. Put forward a ...

Just like most software applications, developers are writing artificial intelligence projects in multiple languages, but there isn't a perfect programming language that can be fully equipped with artificial intelligence projects.

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

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With the development and popularity of artificial intelligence technology, Python has surpassed many other programming languages and has become one of the most popular and most commonly used programming languages in the field of machine learning.

Everyone may have heard of Alex Krizhevsky, who designed the first true deep neural network AlexNet in human history during his Ph.D.—a total of eight learning layers, containing 60 million parameters.

The "Editor's note" machine learning seems to have turned from obscurity to the limelight overnight, as well as more open source tools for machine learning, but the challenge now is how to get developers interested in machine learning and the data they are prepared to use to actually use them, This paper collects the common and practical open source machine learning tools in several languages, which is worth paying attention to, which is from InfoWorld. The following is the original: After decades of development as a professional discipline, machine learning seems to appear overnight as a popular business tool ...

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. 2014 China large data Technology ...

Machine Learning (ML) studies these patterns and encodes human decision processes into algorithms. These algorithms can be applied to several instances to arrive at meaningful conclusions.

Machine learning engineers are part of the team that develops products and builds algorithms and ensures that they work reliably, quickly, and on a scale.