Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Michelucci, Umberto | - |
dc.date.accessioned | 2019-04-04T13:08:52Z | - |
dc.date.available | 2019-04-04T13:08:52Z | - |
dc.date.issued | 2018 | - |
dc.identifier.isbn | 978-1-4842-3789-2 | de_CH |
dc.identifier.isbn | 978-1-4842-3790-8 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/16484 | - |
dc.format.extent | 450 | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Apress | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject | Deep Learning | de_CH |
dc.subject | Machine Learning | de_CH |
dc.subject | Python | de_CH |
dc.subject | TensorFlow | de_CH |
dc.subject | Neural Networks | de_CH |
dc.subject | Keras | de_CH |
dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
dc.title | Applied deep learning : a case-based approach to understanding deep neural networks | de_CH |
dc.type | Buch | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | Life Sciences und Facility Management | de_CH |
zhaw.organisationalunit | Institut für Computational Life Sciences (ICLS) | de_CH |
zhaw.publisher.place | New York | de_CH |
dc.identifier.doi | 10.1007/978-1-4842-3790-8 | de_CH |
zhaw.edition | 1. Auflage | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | No | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.publication.review | Editorial review | de_CH |
zhaw.webfeed | Simulation and Optimization | de_CH |
Appears in collections: | Publikationen Life Sciences und Facility Management |
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Michelucci, U. (2018). Applied deep learning : a case-based approach to understanding deep neural networks (1. Auflage). Apress. https://doi.org/10.1007/978-1-4842-3790-8
Michelucci, U. (2018) Applied deep learning : a case-based approach to understanding deep neural networks. 1. Auflage. New York: Apress. Available at: https://doi.org/10.1007/978-1-4842-3790-8.
U. Michelucci, Applied deep learning : a case-based approach to understanding deep neural networks, 1. Auflage. New York: Apress, 2018. doi: 10.1007/978-1-4842-3790-8.
MICHELUCCI, Umberto, 2018. Applied deep learning : a case-based approach to understanding deep neural networks. 1. Auflage. New York: Apress. ISBN 978-1-4842-3789-2
Michelucci, Umberto. 2018. Applied Deep Learning : A Case-Based Approach to Understanding Deep Neural Networks. 1. Auflage. New York: Apress. https://doi.org/10.1007/978-1-4842-3790-8.
Michelucci, Umberto. Applied Deep Learning : A Case-Based Approach to Understanding Deep Neural Networks. 1. Auflage, Apress, 2018, https://doi.org/10.1007/978-1-4842-3790-8.
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