MDS006.32
Expresiones: Obras generales y ciencias de la informaciónSin especificarSin especificarSin especificarSin especificar
Dewmoji: ?????
0 Obras generales y ciencias de la información 209,734 | 1 Filosofía 219,479 | 2 Religión 550,114 | 3 Sociología 1,140,292 | 4 Filología 167,040 | 5 Ciencias naturales 365,981 | 6 Ciencias aplicadas 817,412 | 7 Bellas artes 827,389 | 8 Literatura 1,168,255 | 9 Historia 684,032 |
00 118,627 | 01 22,237 | 02 26,600 | 03 10,034 | 04 574 | 05 4,381 | 06 4,542 | 07 15,459 | 08 5,568 | 09 1,712 |
000 785 | 001 15,434 | 002 1,320 | 003 2,882 | 004 26,193 | 005 51,096 | 006 20,612 | 007 64 | 008 121 | 009 120 |
006.0 14 | 006.1 4 | 006.2 133 | 006.3 8,378 | 006.4 786 | 006.5 273 | 006.6 5,210 | 006.7 4,458 | 006.8 186 | 006.9 2 |
006.30 137 | 006.31 1,038 | 006.32 222 | 006.33 336 | 006.34 | 006.35 283 | 006.36 1 | 006.37 330 | 006.38 91 | 006.39 |
006.320 2 | 006.321 | 006.322 3 | 006.323 | 006.324 | 006.325 | 006.326 | 006.327 | 006.328 | 006.329 |
Obras seleccionadas bajo el MDS 006.32 (222)
- The Harmonic Mind: From Neural Computation to Optimality-Theoretic Grammar: Volume I: Cognitive Architecture por Paul Smolensky
- The Harmonic Mind: From Neural Computation to Optimality-Theoretic Grammar: Volume II: Linguistic and Philosophical Implications por Paul Smolensky
- Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery por Katy Warr
- Evolving Connectionist Systems: The Knowledge Engineering Approach (Evolving Connectionist Systems) por Nikola Kasabov
- Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications (International Series on Computational Intelligence) por Lakhmi C. Jain
- Self-Organizing Map Formation: Foundations of Neural Computation (Computational Neuroscience) por Klaus Obermayer
- Neural Networks: Computational Models and Applications (Studies in Computational Intelligence) por Huajin Tang
- Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation) por Nikolay Nikolaev
- Neural Networks and the Financial Markets: Predicting, Combining and Portfolio Optimisation (Perspectives in Neural Computing) por Jimmy Shadbolt
- Cnn: A Paradigm for Complexity (World Scientific Series on Nonlinear Science, Series a , Vol 31) por Leon O. Chua
- Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more por Rowel Atienza
- Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications por Ian Pointer
- Computational Neural Networks for Geophysical Data Processing (Handbook of Geophysical Exploration: Seismic Exploration) por M.M. Poulton
- Modeling Language, Cognition And Action: Proceedings of the Ninth Neural Computation and Psychology Workshop, University por Angelo Cangelosi
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| Edición de 1922 |
| Idioma Moderno |
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