Libri sul tema "Deep learning with uncertainty"
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Marchau, Vincent A. W. J., Warren E. Walker, Pieter J. T. M. Bloemen e Steven W. Popper, a cura di. Decision Making under Deep Uncertainty. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05252-2.
Testo completoSaefken, Benjamin, Alexander Silbersdorff e Christoph Weisser, a cura di. Learning deep. Göttingen: Göttingen University Press, 2020. http://dx.doi.org/10.17875/gup2020-1338.
Testo completoBishop, Christopher M., e Hugh Bishop. Deep Learning. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-45468-4.
Testo completoKruse, René-Marcel, Benjamin Säfken, Alexander Silbersdorff e Christoph Weisser, a cura di. Learning Deep Textwork. Göttingen: Göttingen University Press, 2021. http://dx.doi.org/10.17875/gup2021-1608.
Testo completoRodriguez, Andres. Deep Learning Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01769-8.
Testo completoFergus, Paul, e Carl Chalmers. Applied Deep Learning. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04420-5.
Testo completoCalin, Ovidiu. Deep Learning Architectures. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36721-3.
Testo completoEl-Amir, Hisham, e Mahmoud Hamdy. Deep Learning Pipeline. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5349-6.
Testo completoMatsushita, Kayo, a cura di. Deep Active Learning. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5660-4.
Testo completoMichelucci, Umberto. Applied Deep Learning. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3790-8.
Testo completoMoons, Bert, Daniel Bankman e Marian Verhelst. Embedded Deep Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99223-5.
Testo completoWani, M. Arif, Mehmed Kantardzic e Moamar Sayed-Mouchaweh, a cura di. Deep Learning Applications. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1816-4.
Testo completoDong, Hao, Zihan Ding e Shanghang Zhang, a cura di. Deep Reinforcement Learning. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4095-0.
Testo completoKim, Phil. MATLAB Deep Learning. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2845-6.
Testo completoSewak, Mohit. Deep Reinforcement Learning. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8285-7.
Testo completoGamba, Jonah. Deep Learning Models. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9672-8.
Testo completoJo, Taeho. Deep Learning Foundations. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32879-4.
Testo completoSingaram, Jayakumar, S. S. Iyengar e Azad M. Madni. Deep Learning Networks. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-39244-3.
Testo completoEnrique, Castillo. Expert systems: Uncertainty and learning. Southampton: Computational Mechanics, 1991.
Cerca il testo completoHu, Fei, e Xiali Hei. AI, Machine Learning and Deep Learning. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003187158.
Testo completoKetkar, Nikhil, e Jojo Moolayil. Deep Learning with Python. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-5364-9.
Testo completoKim, Kwangjo, e Harry Chandra Tanuwidjaja. Privacy-Preserving Deep Learning. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3764-3.
Testo completoBenois-Pineau, Jenny, e Akka Zemmari, a cura di. Multi-faceted Deep Learning. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74478-6.
Testo completoYe, Jong Chul. Geometry of Deep Learning. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6046-7.
Testo completoAhmed, Khaled R., e Henry Hexmoor, a cura di. Blockchain and Deep Learning. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95419-2.
Testo completoBetti, Alessandro, Marco Gori e Stefano Melacci. Deep Learning to See. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90987-1.
Testo completoBetti, Alessandro, Marco Gori e Stefano Melacci. Deep Learning to See. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90987-1.
Testo completoPaluszek, Michael, Stephanie Thomas e Eric Ham. Practical MATLAB Deep Learning. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7912-0.
Testo completoWani, M. Arif, Farooq Ahmad Bhat, Saduf Afzal e Asif Iqbal Khan. Advances in Deep Learning. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-6794-6.
Testo completoMichelucci, Umberto. Advanced Applied Deep Learning. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4976-5.
Testo completoPaluszek, Michael, e Stephanie Thomas. Practical MATLAB Deep Learning. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5124-9.
Testo completoSalvaris, Mathew, Danielle Dean e Wee Hyong Tok. Deep Learning with Azure. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3679-6.
Testo completoBhanu, Bir, e Ajay Kumar, a cura di. Deep Learning for Biometrics. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61657-5.
Testo completoGhatak, Abhijit. Deep Learning with R. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5850-0.
Testo completoSkansi, Sandro. Introduction to Deep Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73004-2.
Testo completoKetkar, Nikhil. Deep Learning with Python. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2766-4.
Testo completoAmaratunga, Thimira. Deep Learning on Windows. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6431-7.
Testo completoChen, Yen-Wei, e Lakhmi C. Jain, a cura di. Deep Learning in Healthcare. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32606-7.
Testo completoTanaka, Akinori, Akio Tomiya e Koji Hashimoto. Deep Learning and Physics. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6108-9.
Testo completoBruno, Michael A. Error and Uncertainty in Diagnostic Radiology. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190665395.001.0001.
Testo completoTutino, Stefania. Uncertainty in Post-Reformation Catholicism. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190694098.001.0001.
Testo completoWalker, Warren E., Steven W. Popper e Pieter J T M Bloemen. Decision Making Under Deep Uncertainty. Saint Philip Street Press, 2020.
Cerca il testo completoWalker, Warren E., Steven W. Popper e Pieter J T M Bloemen. Decision Making Under Deep Uncertainty. Saint Philip Street Press, 2020.
Cerca il testo completoWang, Xizhao, e Junhai Zhai. Learning with Uncertainty. Taylor & Francis Group, 2016.
Cerca il testo completoWang, Xizhao, e Junhai Zhai. Learning with Uncertainty. Taylor & Francis Group, 2016.
Cerca il testo completoLearning with Uncertainty. Taylor & Francis Group, 2020.
Cerca il testo completoWang, Xizhao, e Junhai Zhai. Learning with Uncertainty. Taylor & Francis Group, 2016.
Cerca il testo completoWang, Xizhao, e Junhai Zhai. Learning with Uncertainty. Taylor & Francis Group, 2016.
Cerca il testo completoLearning with Uncertainty. Taylor & Francis Group, 2016.
Cerca il testo completoKelleher, John D. Deep Learning. MIT Press, 2019.
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