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Books on the topic 'Deepl learning'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

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

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2

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

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3

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

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4

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

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5

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

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6

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

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7

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

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8

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

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9

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

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10

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

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11

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

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12

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

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13

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

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14

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

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15

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

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16

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

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17

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

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18

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

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19

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

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20

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

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21

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

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22

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

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23

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

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24

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

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25

Steven, Caldecott, and Association for Physical Education, eds. In deep: Learning to learn. Leeds: Published on behalf of afPE by Coachwise, 2011.

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26

Kose, Utku, and Jafar Alzubi, eds. Deep Learning for Cancer Diagnosis. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6321-8.

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27

Wani, M. Arif, Taghi M. Khoshgoftaar, and Vasile Palade, eds. Deep Learning Applications, Volume 2. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6759-9.

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28

Aggarwal, Charu C. Neural Networks and Deep Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94463-0.

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29

Pedrycz, Witold, and Shyi-Ming Chen, eds. Deep Learning: Concepts and Architectures. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31756-0.

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30

Pedrycz, Witold, and Shyi-Ming Chen, eds. Deep Learning: Algorithms and Applications. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31760-7.

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31

Balas, Valentina Emilia, Sanjiban Sekhar Roy, Dharmendra Sharma, and Pijush Samui, eds. Handbook of Deep Learning Applications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11479-4.

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32

Pattanayak, Santanu. Pro Deep Learning with TensorFlow. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3096-1.

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33

Majumder, Abhilash. Deep Reinforcement Learning in Unity. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6503-1.

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34

Nath, Vishnu, and Stephen E. Levinson. Autonomous Robotics and Deep Learning. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05603-6.

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35

Yan, Wei Qi. Computational Methods for Deep Learning. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61081-4.

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36

Skansi, Sandro, ed. Guide to Deep Learning Basics. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37591-1.

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37

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

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38

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

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39

Deep Learning. Cambridge, USA: MIT Press, 2019.

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40

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

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41

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

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42

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

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43

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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44

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

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45

Deep Learning. MIT Press, 2017.

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46

Deep Learning. MIT Press, 2017.

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47

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

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48

Grokking Deep Learning. Manning Publications, 2019.

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49

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

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50

Kantardzic, Mehmed, Moamar Sayed-Mouchaweh, and M. Arif Wani. Deep Learning Applications. Springer, 2020.

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