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文件名称：深度学习技术综述
文件大小：237KB
文件格式：PDF
更新时间：2021-12-27 09:03:51
人工智能 深度学习 综述
Deep learning is an emerging research area in machine learning and pattern recognition field. Deep learning refers to machine learning techniques that use supervised or unsupervised strategies to automatically learn hierarchical
representations in deep architectures for classification. The objective is to discover more abstract features in the
higher levels of the representation, by using neural networks which easily separates the various explanatory factors
in the data. In the recent years it has attracted much attention due to its state-of-the-art performance in diverse areas
like object perception, speech recognition, computer vision, collaborative filtering and natural language processing.
As the data keeps getting bigger, deep learning is coming to play a key role in providing big data predictive analytics
solutions. This paper presents a brief overview of deep learning, techniques, current research efforts and the
challenges involved in it.