Deep neural evolution = deep learnin...
Noman, Nasimul.

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  • Deep neural evolution = deep learning with evolutionary computation /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Deep neural evolution/ edited by Hitoshi Iba, Nasimul Noman.
    其他題名: deep learning with evolutionary computation /
    其他作者: Noman, Nasimul.
    出版者: Singapore :Springer Singapore : : 2020.,
    面頁冊數: xii, 438 p. :ill., digital ;24 cm.
    內容註: Chapter 1: Evolutionary Computation and meta-heuristics -- Chapter 2: A Shallow Introduction to Deep Neural Networks -- Chapter 3: On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks -- Chapter 4: Automated development of DNN based spoken language systems using evolutionary algorithms -- Chapter 5: Search heuristics for the optimization of DBN for Time Series Forecasting -- Chapter 6: Particle Swarm Optimisation for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-objective Approaches -- Chapter 7: Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming -- Chapter 8: Fast Evolution of CNN Architecture for Image Classificaiton -- Chapter 9: Discovering Gated Recurrent Neural Network Architectures -- Chapter 10: Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution -- Chapter 11: Neuroevolution of Generative Adversarial Networks -- Chapter 12: Evolving deep neural networks for X-ray based detection of dangerous objects -- Chapter 13: Evolving the architecture and hyperparameters of DNNs for malware detection -- Chapter 14: Data Dieting in GAN Training -- Chapter 15: One-Pixel Attack: Understanding and Improving Deep Neural Networks with Evolutionary Computation.
    Contained By: Springer eBooks
    標題: Neural networks (Computer science) -
    電子資源: https://doi.org/10.1007/978-981-15-3685-4
    ISBN: 9789811536854
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W9410621 電子資源 11.線上閱覽_V 電子書 EB QA76.87 .D447 2020 一般使用(Normal) 在架 0
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