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Books on the topic 'DEEP LEARNING MODEL'

Author: Grafiati

Published: 11 September 2023

Last updated: 25 July 2025

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1

Cianci, Davio. A Deep-Learning-Based Muon Neutrino CCQE Selection for Searches Beyond the Standard Model with MicroBooNE. [publisher not identified], 2021.

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2

Gamba, Jonah. Deep Learning Models. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9672-8.

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3

Poonkuntran, S., Balamurugan Balusamy, and Rajesh Kumar Dhanraj. Object Detection with Deep Learning Models. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003206736.

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4

Bisong, Ekaba. Building Machine Learning and Deep Learning Models on Google Cloud Platform. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4470-8.

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5

Paper, David. State-of-the-Art Deep Learning Models in TensorFlow. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7341-8.

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6

Dulhare, Uma N., and Essam Halim Houssein, eds. Deep Learning and Computer Vision: Models and Biomedical Applications. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1285-7.

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7

Kumar, Ajay, Deepak Dembla, Seema Tinker, and Surbhi Bhatia Khan. Handbook of Deep Learning Models for Healthcare Data Processing. CRC Press, 2025. https://doi.org/10.1201/9781003467281.

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8

Dulhare, Uma N., and Essam Halim Houssein, eds. Deep Learning and Computer Vision: Models and Biomedical Applications. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3648-8.

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9

Shlezinger, Nir. Model-Based Deep Learning. Now Publishers, 2023.

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10

El-Amir, Hisham, and Mahmoud Hamdy. Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow. Apress, 2019.

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11

Intelligent System for COVID-19 , Machine Learning, Deep Learning, Intelligent System: COVID-19, Machine Learning, Deep Learning, Mathematical Model, Intelligent System. Independently Published, 2021.

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12

Lattery, Mark J. Deep Learning in Introductory Physics: Exploratory Studies of Model-Based Reasoning. Information Age Publishing, 2016.

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13

Urtāns, Ēvalds. Function shaping in deep learning. RTU Press, 2021. http://dx.doi.org/10.7250/9789934226854.

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This work describes the importance of loss functions and related methods for deep reinforcement learning and deep metric learning. A novel MDQN loss function outperformed DDQN loss function in PLE computer game environments, and a novel Exponential Triplet loss function outperformed the Triplet loss function in the face re-identification task with VGGFace2 dataset reaching 85,7 % accuracy using zero-shot setting. This work also presents a novel UNet-RNN-Skip model to improve the performance of the value function for path planning tasks.

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14

1st, Kala K. U., and Nandhini M. 2nd. Deep Learning Model for Categorical Context Adaptation in Sequence-Aware Recommender Systems. INSC International Publisher (IIP), 2021.

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15

Jena, Om Prakash, Alok Ranjan Tripathy, Brojo Kishore Mishra, and Ahmed A. Elngar, eds. Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150404011220301.

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Blockchain, whether public or private, is capable enough to maintain the integrity of transactions by decentralizing the records for users. Many IoT companies are using blockchain technology to make the world a better-connected place. Businesses and researchers are exploring ways to make this technology increasingly efficient for IoT services. This volume presents the recent advances in these two technologies. Chapters explain the fundamentals of Blockchain and IoT, before explaining how these technologies, when merged together, provide a transparent, reliable, and secure model for data proces

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16

3D Deep Learning with Python: Design and Develop Your Computer Vision Model with 3D Data Using PyTorch3D and More. Packt Publishing, Limited, 2022.

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17

the power of prompt. Higher Institute of Science and Technology, 2023.

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18

Leadership, Management and Data Science: Risk Calculations, Financial Services, Credit Scoring, Agriculture, Risk, Credit Risk Scoring Model,TR6 Scorecard, Alternative Credit, Loan, Deep Learning Techniques. Independently Published, 2022.

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19

Heinemeyer, Aiko. Deep Machine Learning Methods: The Latest Knowledge about Deep Learning Models. Independently Published, 2022.

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20

Mire, Archana, Amit Kumar Tyagi, and Shaveta Malik. Advanced Analytics and Deep Learning Models. Wiley & Sons, Incorporated, John, 2022.

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21

Raff, Edward. Inside Deep Learning: Math, Algorithms, Models. Manning Publications Co. LLC, 2022.

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22

Deep Learning Models for Medical Imaging. Elsevier, 2022. http://dx.doi.org/10.1016/c2020-0-00344-0.

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23

Mire, Archana, Amit Kumar Tyagi, and Shaveta Malik. Advanced Analytics and Deep Learning Models. Wiley & Sons, Incorporated, John, 2022.

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24

Das, Nibaran, K. C. Santosh, and Swarnendu Ghosh. Deep Learning Models for Medical Imaging. Elsevier Science & Technology, 2021.

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25

Mire, Archana, Amit Kumar Tyagi, and Shaveta Malik. Advanced Analytics and Deep Learning Models. Wiley & Sons, Incorporated, John, 2022.

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26

Mire, Archana, Amit Kumar Tyagi, and Shaveta Malik. Advanced Analytics and Deep Learning Models. Wiley & Sons, Limited, John, 2022.

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27

Das, Nibaran, K. C. Santosh, and Swarnendu Ghosh. Deep Learning Models for Medical Imaging. Elsevier Science & Technology Books, 2021.

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28

Raff, Edward. Inside Deep Learning: Math, Algorithms, Models. Manning Publications Co. LLC, 2022.

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29

Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch. Apress L. P., 2021.

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30

Benois-Pineau, Jenny, and Akka Zemmari. Multi-Faceted Deep Learning: Models and Data. Springer International Publishing AG, 2022.

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31

Benois-Pineau, Jenny, and Akka Zemmari. Multi-Faceted Deep Learning: Models and Data. Springer International Publishing AG, 2021.

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32

Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python. O'Reilly Media, Incorporated, 2024.

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33

Klingler-Vidra, Robyn. The Venture Capital State. Cornell University Press, 2018. http://dx.doi.org/10.7591/cornell/9781501723377.001.0001.

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The Venture Capital State investigates the diffusion of the globally acclaimed Silicon Valley venture capital (VC) policy model. The spread of this model has been ubiquitous, with at least 45 states across a range of countries, in terms of geography, culture, and size, attempting to build local VC markets. In contrast to the transcendent exuberance for VC, policymakers in each and every state have implemented a distinct set of policies. Even states of similar population and economic sizes that are geographically and culturally proximate, and at comparable levels of industrialization, have not

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34

Singh, Pramod. Learn PySpark: Build Python-based Machine Learning and Deep Learning Models. Apress, 2019.

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35

Pal, Sujit, Amita Kapoor, Antonio Gulli, and François Chollet. Deep Learning with TensorFlow and Keras: Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models. Packt Publishing, Limited, 2022.

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36

Deep Learning with Keras: Implementing Deep Learning Models and Neural Networks with the Power of Python. de Gruyter GmbH, Walter, 2017.

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37

Poonkuntran, S., Rajesh Kumar Dhanraj, and Balamurugan Balusamy. Object Detection with Deep Learning Models: Principles and Applications. Taylor & Francis Group, 2022.

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38

Poonkuntran, S., Rajesh Kumar Dhanraj, and Balamurugan Balusamy. Object Detection with Deep Learning Models: Principles and Applications. CRC Press LLC, 2022.

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39

Poonkuntran, S., Rajesh Kumar Dhanraj, and Balamurugan Balusamy. Object Detection with Deep Learning Models: Principles and Applications. CRC Press LLC, 2022.

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40

Poonkuntran, S., Rajesh Kumar Dhanraj, and Balamurugan Balusamy. Object Detection with Deep Learning Models: Principles and Applications. Taylor & Francis Group, 2022.

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41

IJSMI, Editor. Deep Learning Models Explored with Help of Python Programming. Independently Published, 2020.

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42

Poonkuntran, S., Rajesh Kumar Dhanraj, and Balamurugan Balusamy. Object Detection with Deep Learning Models: Principles and Applications. Taylor & Francis Group, 2022.

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43

Singh, Pramod, and Avinash Manure. Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python. Apress, 2020.

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44

Singh, Pramod, and Avinash Manure. Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python. Apress, 2020.

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45

Kumar, Rahul, Matthew Lamons, and Abhishek Nagaraja. Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems. Packt Publishing, 2018.

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46

Python Deep Learning Projects: 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems. de Gruyter GmbH, Walter, 2018.

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47

II, Taweh Beysolow. Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R. Apress, 2017.

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48

Feyzkhanov, Rustem. Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda: Training Serverless Deep Learning Models Using the AWS Infrastructure. Packt Publishing, Limited, 2019.

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49

Madani, Ali. Debugging Machine Learning Models with Python: Develop High-Performance, Low-bias, and Explainable Machine Learning and Deep Learning Models. de Gruyter GmbH, Walter, 2023.

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50

Accelerate Deep Learning Workloads with Amazon SageMaker: Train, Deploy, and Scale Deep Learning Models Effectively Using Amazon SageMaker. de Gruyter GmbH, Walter, 2022.

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