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David J. Boydd anomaly detection in both Keras and PyTorch. From here, the focus shifts to the applications of deep learning models for anomaly detection, including various types of autoencoders, recurrent neural networks (979-8-8688-0007-8979-8-8688-0008-5
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d anomaly detection in both Keras and PyTorch. From here, the focus shifts to the applications of deep learning models for anomaly detection, including various types of autoencoders, recurrent neural networks (979-8-8688-0007-8979-8-8688-0008-5
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Lisa Cliggett,Elizabeth Colson,Rod Hay,Thayer Scudder,Jon Unruhapplications, and their dependencies with this powerful, open source automation tool. In exchange for this power and efficiency, Ansible demands a very different way of978-1-4842-8172-7978-1-4842-8173-4
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. The research presented here is all taken from recent issues of Human Ecology: An Interdisciplinary Journal. Since the journal itself is a leading forum for cont- porary research, the articles we have selected978-1-4614-1514-5978-1-4419-5701-6
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Clifford T. Brown,Larry S. Liebovitch,Rachel Glendon
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On the Notions of Mother Nature and the Balance of Nature and Their Implications for Conservation
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Hunter–Gatherers Optimize Their Foraging Patterns Using Lévy Flights
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