Livros sobre o tema "Neural language models"
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Veja os 43 melhores livros para estudos sobre o assunto "Neural language models".
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1957-, Houghton George, ed. Connectionist models in cognitive psychology. Hove: Psychology Press, 2004.
Encontre o texto completo da fonteMiikkulainen, Risto. Subsymbolic natural language processing: An integrated model of scripts, lexicon, and memory. Cambridge, Mass: MIT Press, 1993.
Encontre o texto completo da fonteBavaeva, Ol'ga. Metaphorical parallels of the neutral nomination "man" in modern English. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1858259.
Texto completo da fonteArbib, Michael. Neural Models of Language Processes. Elsevier Science & Technology Books, 2012.
Encontre o texto completo da fonteCairns, Paul, Joseph P. Levy, Dimitrios Bairaktaris e John A. Bullinaria. Connectionist Models of Memory and Language. Taylor & Francis Group, 2015.
Encontre o texto completo da fonteHoughton, George. Connectionist Models in Cognitive Psychology. Taylor & Francis Group, 2004.
Encontre o texto completo da fonteHoughton, George. Connectionist Models in Cognitive Psychology. Taylor & Francis Group, 2004.
Encontre o texto completo da fonteHoughton, George. Connectionist Models in Cognitive Psychology. Taylor & Francis Group, 2004.
Encontre o texto completo da fonteHoughton, George. Connectionist Models in Cognitive Psychology. Taylor & Francis Group, 2004.
Encontre o texto completo da fonteConnectionist Models in Cognitive Psychology. Taylor & Francis Group, 2014.
Encontre o texto completo da fonteComputational Neuroscience: Trends in Research, 1997 (Language of Science). Springer, 1997.
Encontre o texto completo da fonteHoughton, George. Connectionist Models in Cognitive Psychology. Taylor & Francis Group, 2004.
Encontre o texto completo da fonteGomez-Perez, Jose Manuel, Ronald Denaux e Andres Garcia-Silva. Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP. Springer International Publishing AG, 2021.
Encontre o texto completo da fonteGomez-Perez, Jose Manuel, Ronald Denaux e Andres Garcia-Silva. A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP. Springer, 2020.
Encontre o texto completo da fonteKumar, Rahul, Matthew Lamons e Abhishek Nagaraja. Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems. Packt Publishing, 2018.
Encontre o texto completo da fonteNeural Control of Speech. MIT Press, 2016.
Encontre o texto completo da fonteMishra, Pradeepta. PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models. Apress L. P., 2022.
Encontre o texto completo da fonteBali, Raghav, Dipanjan Sarkar e Tamoghna Ghosh. Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras. Packt Publishing, 2018.
Encontre o texto completo da fonteReese, Richard M., e AshishSingh Bhatia. Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP, 2nd Edition. Packt Publishing - ebooks Account, 2018.
Encontre o texto completo da fonteKalin, Josh. Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras. Packt Publishing, 2018.
Encontre o texto completo da fonteJulian, David. Deep Learning with Pytorch Quick Start Guide: Learn to Train and Deploy Neural Network Models in Python. Packt Publishing, Limited, 2018.
Encontre o texto completo da fonteWhitenack, Daniel. Machine Learning With Go: Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language. Packt Publishing - ebooks Account, 2017.
Encontre o texto completo da fonteHwang, Yoon Hyup. C# Machine Learning Projects: Nine real-world projects to build robust and high-performing machine learning models with C#. Packt Publishing, 2018.
Encontre o texto completo da fonteMcNamara, Patrick, e Magda Giordano. Cognitive Neuroscience and Religious Language. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190636647.003.0005.
Texto completo da fonteR Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition. Packt Publishing, 2018.
Encontre o texto completo da fonteStrevens, Michael. The Whole Story. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199685509.003.0005.
Texto completo da fonteZerilli, John. The Adaptable Mind. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190067885.001.0001.
Texto completo da fonteRatcliff, Roger, e Philip Smith. Modeling Simple Decisions and Applications Using a Diffusion Model. Editado por Jerome R. Busemeyer, Zheng Wang, James T. Townsend e Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.3.
Texto completo da fontePapanicolaou, Andrew C., e Marina Kilintari. Imaging the Networks of Language. Editado por Andrew C. Papanicolaou. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.15.
Texto completo da fonteBergen, Benjamin, e Nancy Chang. Embodied Construction Grammar. Editado por Thomas Hoffmann e Graeme Trousdale. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780195396683.013.0010.
Texto completo da fonteSeneque, Gareth, e Darrell Chua. Hands-On Deep Learning with Go: A Practical Guide to Building and Implementing Neural Network Models Using Go. Packt Publishing, Limited, 2019.
Encontre o texto completo da fonteButz, Martin V., e Esther F. Kutter. Language, Concepts, and Abstract Thought. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0013.
Texto completo da fonteWiley, Joshua F., Yuxi (Hayden) Liu, Pablo Maldonado e Mark Hodnett. Deep Learning with R for Beginners: Design Neural Network Models in R 3. 5 Using TensorFlow, Keras, and MXNet. Packt Publishing, Limited, 2019.
Encontre o texto completo da fonteSangeetha, V., e S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.
Texto completo da fonteButz, Martin V., e Esther F. Kutter. How the Mind Comes into Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.001.0001.
Texto completo da fonteBourhis, Richard Y., e Annie Montreuil. Acculturation, Vitality, and Bilingual Healthcare. Editado por Seth J. Schwartz e Jennifer Unger. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190215217.013.27.
Texto completo da fonteMariani, Giorgio. The Rhetorical Equivalent of War. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252039751.003.0003.
Texto completo da fontevan der Hulst, Harry. Palatal harmony. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198813576.003.0004.
Texto completo da fonteNolte, David D. Introduction to Modern Dynamics. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198844624.001.0001.
Texto completo da fonteBarañano, Kristin W. Angelman Syndrome. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0055.
Texto completo da fonteChilton, Paul, e David Cram. Hoc est corpus. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190636647.003.0016.
Texto completo da fonteBencke, Ida, e Jørgen Bruhn, eds. Multispecies Storytelling in Intermedial Practices. punctum books, 2022. http://dx.doi.org/10.53288/0338.1.00.
Texto completo da fonteHilgurt, S. Ya, e O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.
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