Handbook of neural computation

Handbook of neural computation

Enregistré dans:

Détails bibliographiques
Auteur principal:	Samui, Pijush (19..-....). (Directeur de la publication)
Autres auteurs:	Roy, Sanjiban Sekhar (19..-....). (Directeur de la publication), Balas, Valentina Emilia.
Support:	E-Book
Langue:	Anglais
Publié:	San Diego : Elsevier Science, 2017.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Handbook of Probabilistic Models
par: Samui, Pijush (19..-....).
Publié: (2019)

Artificial Intelligence in the Age of Neural Networks and Brain Computing
par: Kozma, Robert B..
Publié: (2018)

Neural Network Computer Vision with OpenCV 5 : Build computer vision solutions using Python and DNN module
par: Krishna Nuti, Gopi.

Computer and information security handbook
par: Vacca, John R. (1947-....).
Publié: (2013)

Handbook of Cloud Computing : Basic to Advance research on the concepts and design of Cloud Computing
par: Nayyar, Anand.

New Materials in Civil Engineering
par: Samui, Pijush (19..-....).
Publié: (2020)

Integrating disaster science and management : global case studies in mitigation and recovery
par: Samui, Pijush (19..-....).
Publié: (2018)

Modeling Neural Development
par: Van Ooyen, Arjen (19..-....).

Introduction to Neural Networks
par: Gurney, Kevin.

Hands-On Neural Networks : Learn how to build and train your first neural network model using Python
par: De Marchi, Leonardo.
Publié: (2019)

Neural Network for Beginners : Build Deep Neural Networks and Develop Strong Fundamentals using Python's NumPy, and Matplotlib
par: Klaas, Sebastian.

Artificial neural networks for engineering applications
par: Alanis, Alma Y. (19..-....).
Publié: (2019)

Neural Networks in Finance : Gaining Predictive Edge in the Market
par: McNelis, Paul D..
Publié: (2004)

Neural networks with R : smart models using CNN, RNN, deep learning, and artificial intelligence principles
par: Ciaburro, Giuseppe (19..-....).
Publié: (2017)

Hands-On Neural Networks with Keras : Design and create neural networks using deep learning and artificial intelligence principles
par: Purkait, Niloy.
Publié: (2019)

Practical convulational neural networks : implement advanced deep learning models using Python
par: Sewak, Mohit (19..-..).
Publié: (2018)

Neural Network Projects with Python : The ultimate guide to using Python to explore the true power of neural networks through six projects
par: Loy, James.
Publié: (2019)

Hands-on convolutional neural networks with TensorFlow : solve computer vision problems with modeling in TensorFlow and Python
Publié: (2018)

Neural network programming with TensorFlow
par: Ghotra, Manpreet Singh.
Publié: (2017)

Hands-on neural network programming with C# : add powerful neural network capabilities to your C# enterprise applications
par: Cole, Matt R..
Publié: (2018)

Neural Networks Modeling and Control : Applications for Unknown Nonlinear Delayed Systems in Discrete Time
par: Rios, Jorge D..
Publié: (2020)

Neural Network Modeling and Identification of Dynamical Systems
par: Tiumentsev, Yury.
Publié: (2019)

Deep learning for computer vision : expert techniques to train advanced neural networks using TensorFlow and Keras
par: Shanmugamani, Rajalingappaa (19..-....).
Publié: (2018)

Fuzzy neural networks for real time control applications : concepts, modeling and algorithms for fast learning
par: Kayacan, Erdal (19..-....).
Publié: (2015)

Neural and Fuzzy Logic Control of Drives and Power Systems
par: Cirstea, M. N..

Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
par: Kishore Ayyadevara, V..
Publié: (2019)

Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks
par: Galeone, Paolo.
Publié: (2019)

"Neural substrates of cognitive processes" : special issue in honor of Jean Requin [Dossier] ; guest editors Mireille Besson, Sylvan Kornblum, Bruno Poucet.
Publié: (1998)

Hands-on computer vision with Julia : build complex applications with advanced Julia packages for image processing, neural networks, and artificial intelligence
par: Cudihins, Dmitrijs (19..-....).
Publié: (2018)

Hands-On Java Deep Learning for Computer Vision : Implement machine learning and neural network methodologies to perform computer vision-related tasks
par: Ramo, Klevis.
Publié: (2019)

Cloud computings
par: Ruparelia, Nayan B. (19..-....).
Publié: (2016)

Recurrent neural networks with Python quick start guide : sequential learning and language modeling with TensorFlow
par: Kostadinov, Simeon.
Publié: (2018)

Hands-On Graph Neural Networks Using Python : Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch
par: Labonne, Maxime.

Neural Search - From Prototype to Production with Jina : Build deep learning-powered search systems that you can deploy and manage with ease
par: AI, Jina.
Publié: (2022)

Essential computational modeling in chemistry : a derivative of handbook of numerical analysis special volume : computational chemistry, Vol 10
par: Ciarlet, Philippe Gaston (1938-....).
Publié: (2010)

Writing Computer Code : Learn the Language of Computers!
par: Minnick, Chris (19..-....; informaticien).

The Firmware Handbook
par: Ganssle, Jack G. (19..-....).

Theory of Computation Simplified : Simulate Real-world Computing Machines and Problems with Strong Principles of Computation
par: Patil, Varsha H. (19...).

Cloud computing : theory and practice
par: Marinescu, Dan C. (19..-....).
Publié: (2013)

Elements of Deep Learning for Computer Vision : Explore Deep Neural Network Architectures, PyTorch, Object Detection Algorithms, and Computer Vision Applications for Python Coders (English Edition)
par: Sikka, Bharat (1973-....).

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1