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Accuracy Testing of Data Classification using Tensor Flow a Python Framework in ANN Designing

机译:在人工神经网络设计中使用Python框架的Tensor Flow进行数据分类的准确性测试

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In current trend of development World is moving towards the Machine Learning in each and every field for the consistent and accurate results. In this research paper we discussed about the TensorFlow a Python framework for testing data classification accuracy of ANN (Artificial Neural Network). TensorFlow with Keras is a very famous machine learning system and used by various researchers in data classification areas. In TensorFlow computation is represented in the form of dataflow graphs. With the help of TensorFlow, Google’s library a complex computation can be performed very easily by representing them in the form of graph and efficiently mapping the graph parts to machine in the form of cluster.
机译:在当前的发展趋势下,世界正朝着各个领域的机器学习迈进,以取得一致而准确的结果。在这篇研究论文中,我们讨论了TensorFlow一个Python框架,用于测试ANN(人工神经网络)的数据分类准确性。 TensorFlow和Keras是一个非常著名的机器学习系统,在数据分类领域被各种研究人员所使用。在TensorFlow中,计算以数据流图的形式表示。在TensorFlow的帮助下,Google的库可以非常容易地执行复杂的计算,方法是以图形的形式表示它们,并将图形的各个部分高效地映射到集群形式的机器上。

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