Innovative Topologies and Algorithms for Neural Networks

The introduction of new topologies and training procedures to deep neural networks has solicited a renewed interest in the field of neural computation. The use of deep structures has significantly improved state-of-the-art applications in many fields, such as computer vision, speech and text process...

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Format:	Buch
Sprache:	eng
Schlagworte:	3D convolution neural network action recognition alternative fusion neural network Arabic named entity recognition attention mechanism autoencoders bidirectional gated recurrent unit bidirectional recurrent neural network Chinese text classification CNN convolution neural Networks convolutional neural network convolutional neural networks deep convolutional neural networks deep learning distributed systems Economics, Finance, Business and Management elements recognition embedded deep learning facial image analysis facial nerve paralysis feature fusion fully convolutional network fused features gesture recognition gradient-weighted class activation maps graph convolutional network graph partitioning GRU human computer interaction image classification Industry and industrial studies Information technology industries Internet of Things IoT (Internet of Thing) systems linguistic features long short-term memory long-short-term memory networks LSTM LSTM-CRF model Media, entertainment, information and communication industries medical applications motion map multi-label learning natural language processing object detection network object recognition pedestrian attribute recognition POS syntactic rules resource-efficient inference scalability sentiment analysis sentiment attention mechanism ship identification text recognition tooth-marked tongue word embedding
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