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Applying Tensorflow with Convolutional Neural Networks to Train Data and Recognize National Flags

机译:将Tensorflow应用于卷积神经网络,培训数据并识别国旗

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In the recent years, machine learning and deep learning has been becoming hot research titles. In many human life's fields, AI takes big roles like auto driving a car, automatically working robots or vacuum cleaner using image recognition techniques. Tensorflow is a machine learning system with open source code was introduced and provided by Google on November 9, 2015. It has been being famously used in images recognition field. In our work, we recognize an image and classify it using tensorflow based on Convolutional Neural Networks (CNNs) and determine what it is. We train 5-layers CNNs by supervised learning from a database. After training process, trained data files are generated. In the next steps, we use this data to recognize input image and classify it. Finally, we test the results by a testing program.
机译:近年来,机器学习和深度学习一直成为热门的研究标题。在许多人类生命领域,AI采取大作用,如汽车驾驶汽车,使用图像识别技术自动工作机器人或吸尘器。 TensoRflow是一个机器学习系统,具有开放源代码,由Google于2015年11月9日介绍和提供。它一直是在图像识别领域的着名。在我们的工作中,我们识别图像并使用基于卷积神经网络(CNNS)的TensorFlow对其进行分类,并确定它是什么。我们通过从数据库监督学习训练5层CNN。在培训过程之后,生成培训的数据文件。在下一步中,我们使用此数据识别输入图像并对其进行分类。最后,我们通过测试程序测试结果。

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