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Books on the topic 'Deep Learning in CI'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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1

Saefken, Benjamin, Alexander Silbersdorff, and Christoph Weisser, eds. Learning deep. Göttingen University Press, 2020. http://dx.doi.org/10.17875/gup2020-1338.

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2

Bishop, Christopher M., and Hugh Bishop. Deep Learning. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-45468-4.

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3

Kruse, René-Marcel, Benjamin Säfken, Alexander Silbersdorff, and Christoph Weisser, eds. Learning Deep Textwork. Göttingen University Press, 2021. http://dx.doi.org/10.17875/gup2021-1608.

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4

Rodriguez, Andres. Deep Learning Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01769-8.

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5

Fergus, Paul, and Carl Chalmers. Applied Deep Learning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04420-5.

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6

Calin, Ovidiu. Deep Learning Architectures. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36721-3.

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7

El-Amir, Hisham, and Mahmoud Hamdy. Deep Learning Pipeline. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5349-6.

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8

Matsushita, Kayo, ed. Deep Active Learning. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5660-4.

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9

Michelucci, Umberto. Applied Deep Learning. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3790-8.

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10

Moons, Bert, Daniel Bankman, and Marian Verhelst. Embedded Deep Learning. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99223-5.

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11

Wani, M. Arif, Mehmed Kantardzic, and Moamar Sayed-Mouchaweh, eds. Deep Learning Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1816-4.

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12

Dong, Hao, Zihan Ding, and Shanghang Zhang, eds. Deep Reinforcement Learning. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4095-0.

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13

Kim, Phil. MATLAB Deep Learning. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2845-6.

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14

Sewak, Mohit. Deep Reinforcement Learning. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8285-7.

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15

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

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16

Singaram, Jayakumar, S. S. Iyengar, and Azad M. Madni. Deep Learning Networks. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-39244-3.

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17

Jo, Taeho. Deep Learning Foundations. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32879-4.

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18

Ertuğrul, Ömer Faruk, Josep M. Guerrero, and Musa Yilmaz, eds. Shallow Learning vs. Deep Learning. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69499-8.

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19

Hu, Fei, and Xiali Hei. AI, Machine Learning and Deep Learning. CRC Press, 2023. http://dx.doi.org/10.1201/9781003187158.

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20

Suriyan, Kannadhasan, Prasanna Devi Sivakumar, Paavai Gopalan Anand, and Durgadevi Palani, eds. Machine Learning, Deep Learning, and Blockchain. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88237-1.

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21

Ketkar, Nikhil, and Jojo Moolayil. Deep Learning with Python. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-5364-9.

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22

Kim, Kwangjo, and Harry Chandra Tanuwidjaja. Privacy-Preserving Deep Learning. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3764-3.

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23

Benois-Pineau, Jenny, and Akka Zemmari, eds. Multi-faceted Deep Learning. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74478-6.

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24

Ye, Jong Chul. Geometry of Deep Learning. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6046-7.

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25

Ahmed, Khaled R., and Henry Hexmoor, eds. Blockchain and Deep Learning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95419-2.

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26

Betti, Alessandro, Marco Gori, and Stefano Melacci. Deep Learning to See. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90987-1.

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27

Betti, Alessandro, Marco Gori, and Stefano Melacci. Deep Learning to See. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90987-1.

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28

Paluszek, Michael, Stephanie Thomas, and Eric Ham. Practical MATLAB Deep Learning. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7912-0.

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29

Wani, M. Arif, Farooq Ahmad Bhat, Saduf Afzal, and Asif Iqbal Khan. Advances in Deep Learning. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-6794-6.

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30

Michelucci, Umberto. Advanced Applied Deep Learning. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4976-5.

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31

Paluszek, Michael, and Stephanie Thomas. Practical MATLAB Deep Learning. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5124-9.

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32

Salvaris, Mathew, Danielle Dean, and Wee Hyong Tok. Deep Learning with Azure. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3679-6.

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33

Bhanu, Bir, and Ajay Kumar, eds. Deep Learning for Biometrics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61657-5.

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34

Ghatak, Abhijit. Deep Learning with R. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5850-0.

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35

Skansi, Sandro. Introduction to Deep Learning. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73004-2.

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36

Ketkar, Nikhil. Deep Learning with Python. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2766-4.

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37

Amaratunga, Thimira. Deep Learning on Windows. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6431-7.

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38

Chen, Yen-Wei, and Lakhmi C. Jain, eds. Deep Learning in Healthcare. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32606-7.

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39

Tanaka, Akinori, Akio Tomiya, and Koji Hashimoto. Deep Learning and Physics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6108-9.

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40

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

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41

Deep Learning. deeplearningbook.org, 2016.

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42

Bhattacharyya, Siddhartha, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, and B. K. Tripathy, eds. Deep Learning. De Gruyter, 2020. http://dx.doi.org/10.1515/9783110670905.

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43

Deep Learning. MIT Press, 2017.

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44

Deep Learning. 2014.

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45

Vasudevan, Shriram K., Subashri Vasudevan, and Sini Raj Pulari. Deep Learning. Taylor & Francis Group, 2021.

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46

Rao, C. R., Arni S. R. Srinivasa Rao, and Venu Govindaraju. Deep Learning. Elsevier Science & Technology, 2023.

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47

Rao, C. R., Arni S. R. Srinivasa Rao, and Venu Govindaraju. Deep Learning. Elsevier Science & Technology Books, 2023.

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48

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

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49

Sync, Brain. Deep Learning. Brain Sync, 1999.

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50

Howell, Kelly. Deep Learning. Brain Sync, 1993.

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