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Schlosser, Tobias [Author] ; Universitätsbibliothek Chemnitz

Biologically inspired hexagonal deep learning for hexagonal image processing

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Chemnitz: Universitätsverlag Chemnitz, 2024
Bouchard, Louis-François [Author]; Peters, Louie [Author] ; Towards AI, Towards AI

Building LLMs for production : enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG

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New York: Towards AI, [2024]
Bishop, Christopher M. [Author]; Bishop, Hugh [Author]

Deep learning : foundations and concepts

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Cham, Switzerland: Springer, [2024]
Steiner, Peter [Author] ; Technische Universität Dresden, TUDpress Verlag der Wissenschaften Dresden GmbH

Development and analysis of non-standard Echo State Networks

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Dresden: TUDpress, 2024

Published in: Studientexte zur Sprachkommunikation ; 108
Rabe, Stefan Benjamin [Author] ; Rost, Jan-Michael [Degree supervisor]; Krems, Roman V. [Degree supervisor] Technische Universität Dresden

Diabatization via Gaussian Process Regression

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Dresden, 2024
Zhang, Aston [Author]; Lipton, Zachary [Author]; Li, Mu [Author]; Smola, Alexander J. [Author]

Dive into deep learning

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Cambridge; New York; Port Melbourne; New Delhi; Singapore: Cambridge University Press, 2024
Rahman, S. M. Rizwanur [Author] ; Hardt, Wolfram [Degree supervisor]; Heller, Ariane [Degree supervisor]; Harras, Mohamed Salim [Degree supervisor] Technische Universität Chemnitz

Image classification for drone propeller inspection using deep learning

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Chemnitz: Technische Universität Chemnitz, Fakultät für Informatik, August 2024

Published in: Chemnitzer Informatik-Berichte ; 2024,2
Jha, Ashish Ranjan [Author]

Mastering PyTorch : create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond - [Second edition]

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Birmingham: Packt Publishing Limited, 2024

Published in: Expert insight
Wagner, Franz [Author] ; Maas, Hans-Gerd [Degree supervisor]; Rottensteiner, Franz [Degree supervisor]; Weinmann, Martin [Degree supervisor] Technische Universität Dresden

Segmentation in tomography data: exploring data augmentation for supervised and unsupervised voxel classification with neural networks

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Dresden, 12.07.2024
Bock, Oliver [Author]; Knust, Florian [Author] ; epubli GmbH

Superkraft ChatGPT : KI einfach & sicher für Texte, Bilder & Büro : #PROMPT-Hilfe, #Profi-Tipps, #ChatGPT-4o : 50+ Prompts

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[Berlin]: [epubli], [2024]
Ananthaswamy, Anil [Author]

Why machines learn : the elegant math behind modern AI

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New York: Dutton, [2024]
Ris-Ala, Rafael [Author]

Fundamentals of reinforcement learning

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Cham: Springer, 2023
Hardt, Moritz [Author]; Recht, Benjamin [Author]

Patterns, predictions, and actions : foundations of machine learning

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Princeton; Oxford: Princeton University Press, [2022]
Schuld, Maria [Author]; Petruccione, Francesco [Author]

Machine learning with quantum computers - [Second edition]

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Cham: Springer, [2021]

Published in: Quantum science and technology
Nakajima, Kohei [Editor]; Fischer, Ingo [Editor]

Reservoir computing : theory, physical implementations, and applications

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Singapore: Springer, [2021]

Published in: Natural computing series
Reitmann, Stefan [Author] ; Nachtigall, Karl [Degree supervisor]; Klawonn, Frank [Degree supervisor] Technische Universität Dresden

Künstliche neuronale Netze im leistungsbasierten Luftverkehrsmanagement

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Dresden, 2020
Sutton, Richard S. [Author]; Barto, Andrew [Author]

Reinforcement learning : an introduction - [Second edition]

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Cambridge, Massachusetts; London, England: The MIT Press, [2020]

Published in: Adaptive computation and machine learning
Thanasoulis, Vasileios [Author] ; Technische Universität Dresden

Analysis and development of a communication infrastructure for a wafer-scale neuromorphic system

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Dresden: TUDpress, 2019
Foster, David [Author]

Generative deep learning : teaching machines to paint, write, compose, and play - [First edition]

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Beijing; Boston; Farnham; Sebastopol; Tokyo: O'Reilly, July 2019
Moolayil, Jojo [Author]

Learn Keras for deep neural networks : a fast-track approach to modern deep learning with Python

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New York, NY: Apress, [2019]

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