Deep Learning Frameworks: An Analysis on Business Perspective

A. Bhattacharjee, Soumen Mukherjee
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Abstract

In recent time the amount of data handled by any traditional machine learning system is huge due to big data analytics. Deep learning plays a major role in this respect by retaining the performance of the system with huge amount of data. Deep learning research is constantly growing in last 25 years due to its huge potential in business system. Machine learning system are transforming from shallow architecture learning algorithm like SVM, Perceptron, kNN to deep architecture. In this paper we have discussed the importance of Deep learning in the introduction part and we have done an analysis of different type of software libraries in Deep learning and applications like Torch, Theano, TensorFlow and Caffe. Finally, Deep learning application in business perspective is discussed.
深度学习框架:商业视角分析
最近,由于大数据分析,任何传统机器学习系统处理的数据量都是巨大的。深度学习在这方面发挥了重要作用,因为它可以在大量数据的情况下保持系统的性能。深度学习研究在过去的25年里不断发展,因为它在商业系统中具有巨大的潜力。机器学习系统正在从SVM、Perceptron、kNN等浅层结构学习算法向深层结构学习转变。在本文中,我们在引言部分讨论了深度学习的重要性,并分析了深度学习中不同类型的软件库和应用程序,如Torch, Theano, TensorFlow和Caffe。最后,讨论了深度学习在商业领域的应用。
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