321 |
|
Deconstructing the High Line : postindustrial urbanism and the rise of the elevated park /
|
Lindner, Christoph Rosa, Brian
|
|
2017
|
|
|
322 |
|
Deconstruction /
|
Gunkel, David J.
|
The MIT Press
|
2021
|
|
|
323 |
|
Deconstruction / [electronic resource]
|
Gunkel, David J.
|
The MIT Press
|
2021
|
|
|
324 |
|
Decoys : a John Denson mystery /
|
Hoyt, Richard
|
|
2014
|
|
|
325 |
|
Decrypting the encryption debate : a framework for decision makers /
|
National Academies of Sciences, Engineering, and Medicine (U.S.). Computer Science and Telecommunications Board
|
The National Academies Press
|
2018
|
|
|
326 |
|
Deep China : the moral life of the person : what anthropology and psychiatry tell us about China today / [electronic resource]
|
Kleinman, Arthur.
|
University of California Press
|
2011
|
|
|
327 |
|
Deep Learning for Natural Language Processing : Solve Your Natural Language Processing Problems with Smart Deep Neural Networks
|
Reddy Bokka, Karthiek.
|
Packt Publishing, Limited
|
2019
|
|
|
328 |
|
Deep Learning with Pytorch 1.x : Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition
|
Mitchell, Laura.
|
Packt Publishing, Limited
|
2019
|
|
|
329 |
|
Deep Learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition. /
|
Gulli, Antonio.
|
Packt Publishing
|
2019
|
|
|
330 |
|
Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition
|
Zaccone, Giancarlo.
|
Packt Publishing
|
2018
|
|
|
331 |
|
Deep Life
|
Onstott, T. C.
|
Princeton University Press
|
2016
|
|
|
332 |
|
Deep classics : rethinking classical reception /
|
Butler, Shane
|
|
2016
|
|
|
333 |
|
Deep inequality : understanding the new normal and how to challenge it /
|
Wysong, Earl
|
Rowman & Littlefield
|
2017
|
|
|
334 |
|
Deep learning / [electronic resource]
|
Kelleher, John D.
|
MIT Press
|
2019
|
|
|
335 |
|
Deep learning applications and intelligent decision making in engineering /
|
Senthilnathan, Karthikrajan Shanmugam, Balamurugan Goyal, Dinesh Annapoorani, Iyswarya Samikannu, Ravi
|
|
2021
|
|
|
336 |
|
Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling /
|
Di, Wei
|
Packt Publishing
|
2018
|
|
|
337 |
|
Deep learning for image processing applications / [electronic resource]
|
Hemanth, D. J. Estrela, Vania Vieira
|
IOS Press
|
2017
|
|
|
338 |
|
Deep learning innovations and their convergence with big data / [electronic resource]
|
Karthik, S. Paul, Anand Karthikeyan, N.
|
IGI Global
|
2018
|
|
|
339 |
|
Deep learning techniques and optimization strategies in big data analytics /
|
Thomas, J. Joshua
|
Engineering Science Reference, IGI Global
|
2020
|
|
|
340 |
|
Deep learning with Microsoft Cognitive Toolkit quick start guide : a practical guide to building neural networks using Microsoft's open source deep learning framework /
|
Meints, Willem
|
Packt Publishing
|
2019
|
|
|