Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: tit all "Neural Networks and Deep Learning"
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31 - 40 von 125

	31	Global horizontal and direct normal solar irradiance modeling by the machine learning methods XGBoost and deep neural networks with CNN-LSTM layers: a case study using the GOES-16 satellite imagery Enthalten in International journal of energy and environmental engineering 19.4.2022: 1-16
	32	Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes Enthalten in Mammalian biology 12.4.2022: 1-23
	33	Accurately Forecasting Stock Prices using LSTM and GRU Neural Networks Lawi, Armin. - Saarbrücken : LAP LAMBERT Academic Publishing, 2021, 1. Auflage
	34	Constitutive artificial neural networks Linka, Kevin. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2021
	35	MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning Müller, Dominik. - Augsburg : Universität Augsburg, 2021
	36	Evolving Deep Convolutional Neural Networks by Extreme Learning Machine and Fuzzy Slime Mould Optimizer for Real-Time Sonar Image Recognition Enthalten in International journal of fuzzy systems 21.11.2021: 1-19
	37	Prediction of CO2 emission from greenhouse to atmosphere with artificial neural networks and deep learning neural networks Enthalten in International journal of environmental science and technology 1.3.2021: 1-10
	38	Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data Czech, Johannes. - Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2020
	39	Recent Advances in Big Data and Deep Learning Cham : Springer International Publishing, 2020, 1st edition 2020
	40	Unsupervised Learning in Space and Time Cham : Springer International Publishing, 2020, 1st edition 2020