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Deep Neural Network for Image Recognition Based on the Caffe Framework

机译:基于Caffe框架的图像识别深神经网络

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Deep Leaning of the Neural Networks has become one of the most demanded areas of Information Technology and it has been successfully applied to solving many issues of Artificial Intelligence, for example, speech recognition, computer vision, natural language processing, data visualization. This paper describes the developing the deep neural network model for image recognition and a corresponding experimental research on an example of the MNIST data set. Some practical details for creating the Deep Neural Network and image recognition in the Caffe Framework are given as well.
机译:深度倾向于神经网络已成为最需要的信息技术领域之一,并且已成功应用于解决人工智能的许多问题,例如语音识别,计算机视觉,自然语言处理,数据可视化。本文介绍了对图像识别的深度神经网络模型以及对Mnist数据集的示例的相应实验研究。还给出了在Caffe框架中创建深度神经网络和图像识别的一些实用细节。

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