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Convergence Analysis of Recurrent Neural Networks
Yi Zhang
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Description for Convergence Analysis of Recurrent Neural Networks
Paperback. Series: Network Theory and Applications. Num Pages: 233 pages, biography. BIC Classification: GPFC; THR; UYA. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 397.
Since the outstanding and pioneering research work of Hopfield on recurrent neural networks (RNNs) in the early 80s of the last century, neural networks have rekindled strong interests in scientists and researchers. Recent years have recorded a remarkable advance in research and development work on RNNs, both in theoretical research as weIl as actual applications. The field of RNNs is now transforming into a complete and independent subject. From theory to application, from software to hardware, new and exciting results are emerging day after day, reflecting the keen interest RNNs have instilled in everyone, from researchers to practitioners. RNNs contain ... Read more
Since the outstanding and pioneering research work of Hopfield on recurrent neural networks (RNNs) in the early 80s of the last century, neural networks have rekindled strong interests in scientists and researchers. Recent years have recorded a remarkable advance in research and development work on RNNs, both in theoretical research as weIl as actual applications. The field of RNNs is now transforming into a complete and independent subject. From theory to application, from software to hardware, new and exciting results are emerging day after day, reflecting the keen interest RNNs have instilled in everyone, from researchers to practitioners. RNNs contain ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
233
Condition
New
Series
Network Theory and Applications
Number of Pages
233
Place of Publication
New York, NY, United States
ISBN
9781475738216
SKU
V9781475738216
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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