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Relevant bibliographies by topics / Artificial Intelligence; Deep learning; Representation learning / Books

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Books on the topic 'Artificial Intelligence; Deep learning; Representation learning'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Goar, Vishal, Aditi Sharma, Jungpil Shin, and M. Firoz Mridha, eds. Deep Learning and Visual Artificial Intelligence. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4533-3.

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2

Troiano, Luigi, Alfredo Vaccaro, Roberto Tagliaferri, et al., eds. Advances in Deep Learning, Artificial Intelligence and Robotics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85365-5.

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3

Stamp, Mark, Mamoun Alazab, and Andrii Shalaginov, eds. Malware Analysis Using Artificial Intelligence and Deep Learning. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62582-5.

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4

Roy, Sangita, Rajat Subhra Chakraborty, Jimson Mathew, Arka Prokash Mazumdar, and Sudeshna Chakraborty. Artificial Intelligence and Deep Learning for Computer Network. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003212249.

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5

Tache, Nicole, ed. Learning TensorFlow: A Guide to Building Deep Learning Systems. O'Reilly Media, 2017.

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6

Mohan Kumar, Dr S. Artificial Intelligence: Foundations, Applications, and the Generative Future. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2025. https://doi.org/10.47716/978-93-92090-63-9.

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Artificial Intelligence (AI) is no longer confined to laboratories and theoretical models; it is now a driving force behind the digital transformation of society. Artificial Intelligence: Foundations, Applications, and the Generative Future provides an in-depth journey through AI’s essential principles, its wide-ranging applications, and the revolutionary impact of generative technologies. The book methodically builds knowledge from classical AI concepts like intelligent agents, search strategies, and knowledge representation, to advanced learning models including neural networks and machine l

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7

Kelleher, John D. Deep Learning. MIT Press, 2019.

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8

Kelleher, John D. Deep Learning. MIT Press, 2019.

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9

Campesato, Oswald. Artificial Intelligence, Machine Learning, and Deep Learning. Mercury Learning & Information, 2020.

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10

Campesato, Oswald. Artificial Intelligence, Machine Learning, and Deep Learning. Mercury Learning & Information, 2020.

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11

Campesato, Oswald. Artificial Intelligence, Machine Learning, and Deep Learning. Mercury Learning & Information, 2020.

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12

TensorFlow: Deep Learning and Artificial Intelligence. Independently Published, 2020.

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13

Miller, Jacob. Artificial Intelligence and Deep Learning Revolution. Independently Published, 2018.

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14

Zohuri, Bahman. Artificial Intelligence Driven by Machine Learning and Deep Learning. Nova Science Publishers, Incorporated, 2020.

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15

Zadeh, Siamak, and Bahman Zohuri. Artificial Intelligence Driven by Machine Learning and Deep Learning. Nova Science Publishers, Incorporated, 2020.

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16

Mueller, John Paul, and Luca Massaron. Deep Learning for Dummies. Wiley & Sons, Incorporated, John, 2019.

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17

Antiga, Luca Pietro Giovanni, Eli Stevens, and Thomas Viehmann. Deep Learning with Pytorch. Manning Publications Co. LLC, 2020.

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18

Mueller, John Paul, and Luca Massaron. Deep Learning for Dummies. Wiley & Sons, Incorporated, John, 2019.

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19

Deep Learning. MIT Press, 2019.

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20

Campesato, Oswald. Deep Learning Pocket Primer. Mercury Learning & Information, 2020.

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21

Campesato, Oswald. Deep Learning Pocket Primer. Mercury Learning & Information, 2020.

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22

Campesato, Oswald. Deep Learning Pocket Primer. Mercury Learning & Information, 2020.

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23

Feldspar, David. Deep Learning: Guide to Machine Learning and Artificial Intelligence. Independently Published, 2018.

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24

Raymond, Seth. Artificial Intelligence: Understanding Deep Learning and Machine Learning Concepts. Independently Published, 2018.

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25

Raymond, David. Artificial Intelligence: Understanding Machine Learning and Deep Learning Concepts. Independently Published, 2019.

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26

Understanding Deep Learning. MIT Press, 2023.

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27

Artificial Intelligence and Deep Learning in Pathology. Elsevier, 2021. http://dx.doi.org/10.1016/c2018-0-02465-2.

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28

Cohen, Stanley. Artificial Intelligence and Deep Learning in Pathology. Elsevier, 2020.

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29

ABBEL, J. ARTIFICIAL INTELLIGENCE with MATLAB. DEEP LEARNING ARCHITECTURES. Independently Published, 2020.

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30

Sewak, Mohit. Deep Reinforcement Learning: Frontiers of Artificial Intelligence. Springer, 2020.

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31

Sewak, Mohit. Deep Reinforcement Learning: Frontiers of Artificial Intelligence. Springer, 2019.

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32

Sejnowski, Terrence J. Deep Learning Revolution. MIT Press, 2018.

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33

Campesato, Oswald. Angular and Deep Learning Pocket Primer. Mercury Learning & Information, 2020.

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34

Campesato, Oswald. Angular and Deep Learning Pocket Primer. Mercury Learning & Information, 2020.

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35

Campesato, Oswald. Angular and Deep Learning Pocket Primer. Mercury Learning & Information, 2020.

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36

Russell, James. Artificial Intelligence and Deep Learning Essentials: Fundamentals of Deep Learning and Neural Networks. Independently Published, 2018.

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37

Deep Learning. MIT Press, 2017.

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38

Deep Learning. MIT Press, 2017.

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39

Juan De Dios Santos Rivera. Practical TensorFlow.js: Deep Learning in Web App Development. Apress, 2020.

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40

Sejnowski, Terrence J. Deep Learning Revolution. MIT Press, 2018.

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41

Sejnowski, Terrence J. Deep Learning Revolution. MIT Press, 2018.

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42

Raynor, Timothy. Deep Learning and Artificial Intelligence for Your Organization. Independently Published, 2018.

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43

Kelsey, Jim. Deep Learning and Artificial Intelligence Applied to Business. Independently Published, 2018.

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44

Shalaginov, Andrii, Mark Stamp, and Mamoun Alazab. Malware Analysis Using Artificial Intelligence and Deep Learning. Springer International Publishing AG, 2022.

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45

Malware Analysis Using Artificial Intelligence and Deep Learning. Springer International Publishing AG, 2020.

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46

Artificial Intelligence for Science: A Deep Learning Revolution. World Scientific Publishing Co Pte Ltd, 2022.

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47

Bengio, Yoshua, Aaron Courville, and Ian Goodfellow. Deep Learning. MIT Press, 2016.

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48

Kim, Phil. MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence. Apress, 2017.

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49

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence. Apress, 2017.

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50

Jain, Lakhmi C., and George A. Tsihrintzis. Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications. Springer International Publishing AG, 2021.

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