Titlebook: Recurrent Neural Networks; From Simple to Gated Fathi M. Salem Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusi

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書目名稱Recurrent Neural Networks影響因子(影響力)




書目名稱Recurrent Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Recurrent Neural Networks網(wǎng)絡(luò)公開度




書目名稱Recurrent Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Recurrent Neural Networks被引頻次




書目名稱Recurrent Neural Networks被引頻次學(xué)科排名




書目名稱Recurrent Neural Networks年度引用




書目名稱Recurrent Neural Networks年度引用學(xué)科排名




書目名稱Recurrent Neural Networks讀者反饋




書目名稱Recurrent Neural Networks讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-3-030-89929-5Neural Networks textbook; Deep Learning textbook; Embedded Deep Learning; Neural Networks and Deep Lear

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978-3-030-89931-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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inuous surfaces exhibiting aspheric and free-form shapes, while the machining of molds with discontinuous surfaces (prisms, facets, Fresnel structures, etc.) will be discussed in Chapter 6. Molds may be classified according to size, shape, and tolerance requirements. As a mold material for replicati

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amond tool occurs inevitably. A recently developed solution of this problem is a thermo-chemical treatment of the steel e.g. by custom nitriding or nitrocarburizing. This process leads to a compound layer at the steel surface, in which the iron atoms are bonded to nitride or carbon nitride, a layer

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Fathi M. Salemposed as the means to fabricate regular micro array structures with high surface quality and controllable form accuracy on the surfaces of those difficult-to-machine materials. First, a V-shaped tip diamond grinding wheel with sharp micro-grain cutting edges was obtained by mechanical truing along V

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