![]() ![]() Because of the extensive use of deep learning, visual object classification algorithms have been updated and prompted quickly. Visual object classification is able to reduce the consumption of human labor through computer vision which is an essential work of digital image and video processing as well as computer vision. Therefore, crucial deep learning structures such as convolution neural networks (CNN or ConvNet) and recurrent neural networks (RNN) have been boardly employed in natural language processing (NLP) in recent years and have achieved significant progress. Compared with conventional machine learning methods, the advantages of deep learning are mainly in that the complex feature extraction process is not required. With the deepening of deep learning research, a spate of deep learning models appear in the field of natural language processing (NLP) as one of the essential directions of artificial intelligence. ![]()
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