Federated Learning with Python : Design and implement a federated learning system and develop applications using existing frameworks

Federated Learning with Python : Design and implement a federated learning system and develop applications using existing frameworks

Enregistré dans:

Détails bibliographiques
Auteur principal:	Nakayama, Kiyoshi. (Auteur)
Autres auteurs:	Jeno, George. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2022.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Federal Democracies

Machine Learning with Python : Design and Develop Machine Learning and Deep Learning Technique using real world code examples
par: Vijayvargia, Abhishek.

Learning Python application development
par: Sathaye, Ninad.
Publié: (2016)

Comparative Federalism : Theory and practice
par: Burgess, Michael (1949-....).

Federalism and Political Performance

Designing machine learning systems with Python
par: Julian, David.
Publié: (2016)

La Fédération Ibérique
par: Lima, Sebastião de Magalhães, 1850-1928.
Publié: (1892)

Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
par: Bonaccorso, Giuseppe.
Publié: (2019)

Federalism in Asia : India, Pakistan and Malaysia
par: Bhattacharyya, Harihar (19..-....; politiste).

The Federal Republic in Spain : Pi y Margall and the Federal Republican movement, 1868-74.
par: Hennessy, Charles Alistair Michael.
Publié: (1962)

The records of the Federal Convention of 1787
Publié: (1911)

New Directions in Federalism Studies

Hands-on transfer learning with Python : implement advanced deep learning and neural network models using TensorFlow and Keras
par: Sarkar, Dipanjan (19..-....).
Publié: (2018)

L'Ére des fédérations
Publié: (1958)

Federal data science : transforming government and agricultural policy using artificial intelligence
Publié: (2017)

Hands-on Supervised Learning with Python : Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms Using Python
par: Shang, Madeleine.

Learn AI with Python : Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
par: Leekha, Gaurav.

Python Machine Learning By Example : Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn
par: Liu, Yuxi (Hayden).
Publié: (2020)

Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
par: Galea, Alex.
Publié: (2018)

Hands-On One-shot Learning with Python : Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
par: Jadon, Shruti.
Publié: (2020)

Constitutional Asymmetry in Multinational Federalism : Managing Multinationalism in Multi-tiered Systems
par: Popelier, Patricia (1970-....).

Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
par: Coelho, Luis Pedro.
Publié: (2018)

Hands-On Deep Learning Algorithms with Python : Master deep learning algorithms with extensive math by implementing them using TensorFlow
par: Ravichandiran, Sudharsan.
Publié: (2019)

Machine Learning for Streaming Data with Python : Rapidly build practical online machine learning solutions using River and other top key frameworks
par: Korstanje, Joos.
Publié: (2022)

The Case for Multinational Federalism : Beyond the all-encompassing nation
par: Gagnon, Alain Gustave (1954-....).

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
par: Raschka, Sebastian.
Publié: (2019)

Python for Developers : Learn to Develop Efficient Programs using Python
par: Raj, Mohit.
Publié: (2019)

The Constitutional Boundaries of European Fiscal Federalism
par: Gordon, Brady.

Multinational Federalism and Value Pluralism : The Spanish case
par: Requejo Coll, Ferran.

Federalism, Plurinationality and Democratic Constitutionalism : Theory and cases
par: Requejo Coll, Ferran.

Learning robotics using Python : design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python
par: Lentin, Joseph.
Publié: (2018)

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits : A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
par: Amr, Tarek (19..-....).
Publié: (2020)

Ein Held der Feder Heimatklang
par: Werner, G.

Nation, fédération, le compromis impossible ?
Publié: (2001)

Machine Learning with LightGBM and Python : A practitioner's guide to developing production-ready machine learning systems
par: Wyk, Andrich Van.

Learn web development with Python : get hands-on with Python programming and Django web development
par: Romano, Fabrizio (1975-....).
Publié: (2018)

Machine Learning with Python : Unlocking AI Potential with Python and Machine Learning
par: Theobald, Oliver.

Python machine learning
par: Lee, Wei-Meng (19..-....).

Advanced Deep Learning with Python : Design and implement advanced next-generation AI solutionsusing TensorFlow and PyTorch
par: Vasilev, Ivan.
Publié: (2019)

Supervised Machine Learning with Python : Develop rich Python coding practices while exploring supervised machine learning
par: Smith, Taylor.
Publié: (2019)

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