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深度学习是近年来机器学习领域的一个热点研究方向,其主要学习方法是通过增加学习器的层数,增大其通道数和参数的规模,借助大数据学习时代的超强计算能力,发现原始数据集中的高层抽象概念,为应用领域的决策支持进行服务。在当前,深度学习技术吸引着大批机器学习研究者和应用领域研究者的兴趣,无论是在理论研究中,还是在应用研究中,深度学习技术的应用,总能带动这些研究领域的发展。
Deep learning is a hot research field in machine learning in recent years. The main method of learning is to increase the number of learners and increase the number of channels and parameters. With the powerful computing power of the era of big data learning, High-level abstract concepts in data sets serve decision support in the application area. At present, the deep learning technology attracts a large number of interest in the machine learning researchers and researchers in the field of application. Whether it is in theoretical research or applied research, the application of deep learning technology can always drive the development of these research fields.