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Ketkar, Nikhil [Author]; Moolayil, Jojo [Author]

Deep Learning with Python : Learn Best Practices of Deep Learning Models with PyTorch - [Second edition]

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New York: Apress, 2021

Published in: Springer eBook Collection
Ketkar, Nikhil [Author]; Moolayil, Jojo [Author] ; Safari, an O’Reilly Media Company

Deep Learning with Python : Learn Best Practices of Deep Learning Models with PyTorch - [2nd edition]

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[Erscheinungsort nicht ermittelbar]: Apress, 2021
Sobhee, Shailen [Author]

Accelerate your Deep Learning Inferencing with the Intel® DL Boost technology: Learn more about our new Vector Neural Network Instruction (VNNI) set

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[Erscheinungsort nicht ermittelbar]: EuroPython, 2019

Published in: EuroPython 2019 ; (Jan. 2019) -
Hirschle, Jochen [Author]

Machine Learning für Zeitreihen : Einstieg in Regressions-, ARIMA- und Deep Learning-Verfahren mit Python

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München: Hanser, [2021]

Published in: Hanser eLibrary
Haba, Duc [Author]

DATA AUGMENTATION WITH PYTHON : enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data - [1st edition.]

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[England]: PACKT PUBLISHING LIMITED, 2023
Büch, Holger [Author] ; Robert Bosch GmbH [Contributor]

Continuous Authentication using Inertial-Sensors of Smartphones and Deep Learning

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https://hdms.bsz-bw.de/frontdoor/index/index/docId/6506

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Stuttgart Media University: HdM ePub, 2019
Saitō, Kōki [Author]

Python de manabu dīpu rāningu no riron to jissō - [Shohan.]

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Tōkyō-to Shinjuku-ku: Orairī Japan, 2016 ; $UChin: オライリー・ジャパン,, 2016

Published in: Zero kara tsukuru deep learning ; 1
Hirschle, Jochen [Author] ; Carl Hanser Verlag

Deep Natural Language Processing : Einstieg in Word Embedding, Sequence-to-Sequence-Modelle und Transformers mit Python

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München: Hanser, [2022]

Published in: Hanser eLibrary
Khan, Shahrukh [Author]; Shahid, Mahnoor [Author]; Singh, Navdeeppal [Author]

BERT Probe : A python package for probing attention based robustness evaluation of BERT models

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Saarländische Universitäts- und Landesbibliothek, 2022
Zai, Alex [Author]; Brown, Brandon [Author] ; Carl Hanser Verlag

Einstieg in Deep Reinforcement Learning : KI-Agenten mit Python und PyTorch programmieren

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München: Hanser, [2020]

Published in: Hanser eLibrary
Christen, Martin [Author]

Geospatial Analysis using Python and JupyterHub: Processing, analyzing, and visualizing geospatial data on a high performance GPU server

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[Erscheinungsort nicht ermittelbar]: EuroPython, 2019

Published in: EuroPython 2019 ; (Jan. 2019) -
Sanghi, Nimish [Author]

Deep Reinforcement Learning with Python : With PyTorch, TensorFlow and OpenAI Gym

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New York: Apress, [2021]

Published in: Springer eBook Collection
Schell, Uli [Author] ; Carl Hanser Verlag

Maschinelles Lernen mit R : Daten aufbereiten und verarbeiten mit H2O und Keras

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München: Hanser, [2022]

Published in: Hanser eLibrary
Sick, Beate [Author]; Duerr, Oliver [Author]

Probabilistic Deep Learning - [1st edition]

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[Erscheinungsort nicht ermittelbar]: Manning Publications, 2020
Basha, Niha K. [Editor]; Bhatia, Surbhi [Editor]; Kumar, Abhishek [Editor]; Mashat, Arwa [Editor]

Deep learning and its applications using Python

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Hoboken, NJ; Beverly, MA: John Wiley & Sons, Inc., 2023 ; Hoboken, NJ; Beverly, MA: Scrivener Publishing, 2023
Ye, Andre [Author]

Modern deep learning design and application development : versatile tools to solve deep learning problems

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Berkeley, CA: Apress, [2022]

Published in: Springer eBook Collection
Shkarin, Roman [Author]

Machine learning-based automated segmentation with a feedback loop for 3D synchrotron micro-CT

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Karlsruhe: KIT-Bibliothek, 2021
Chaudhury, Krishnendu [Author]; Ashok, Ananya H. [Author]; Narumanchi, Sujay [Author]; Shankar, Devashish [Author] ; Banerjee, Prithviraj [Contributor]

Math and architectures of deep learning

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Shelter Island, NY: Manning Publications, [2024]
Chin, Ee Kin [Author]

The deep learning architect's handbook : build and deploy production-ready DL solutions leveraging the latest Python techniques - [1st edition.]

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Birmingham: Packt Publishing, 2023
Bakula, Niklas [Author] ; Engel, Dirk [Contributor]

Concept development, evaluation and implementation of a method for image-based distance computation in AUDEx

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https://hdl.handle.net/20.500.12738/14776

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REPOSIT HAW Hamburg, 2024-02-07

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