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Recurrent Neural Networks: From Simple to Gated Architectures free ebook download

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Networking

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Author(s):	Fathi M. Salem

Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	3030899284
Pages:	141	OCR:		Quality:		ISBN13:
Uploader:	alex21s	Upload Date:	1/15/2022 1:11:52 PM

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This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from scratch. It provides a treatment of the general recurrent neural networks with principled methods for training that render the (generalized) backpropagation through time (BPTT).  This author focuses on the basics and nuances of recurrent neural networks, providing technical and principled treatment of the subject, with a view toward using coding and deep learning computational frameworks, e.g., Python and Tensorflow-Keras. Recurrent neural networks are treated holistically from simple to gated architectures, adopting the technical machinery of adaptive non-convex optimization with dynamic constraints to leverage its systematic power in organizing the learning and training processes. This permits the flow of concepts and techniques that provide grounded support for design and training choices. The authors approach enables strategic co-training of output layers, using supervised learning, and hidden layers, using unsupervised learning, to generate more efficient internal representations and accuracy performance. As a result, readers will be enabled to create designs tailoring proficient procedures for recurrent neural networks in their targeted applications.
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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3075952	Book	https://tezfiles.com/file/0b71c4458b9b5/...		0.00	alex21s

Tags: Architectures Gated Networks Neural Recurrent Simple

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Recurrent Neural Networks: From Simple to Gated Architectures free ebook download

Category: Networking

Description: Click to see full description

Category:
Networking