Le tribunal de cassation et les pouvoirs sous la Revolution : 1790-1799 / Jean-Louis Halperin ; preface de Gerard Sautel

• Record Nr.: UNINA990008637800403321
• Autore: Halpérin, Jean-Louis
• Pubbl/distr/stampa: Paris : Librairie generale de droit et de jurisprudence, 1987
• ISBN: 2275008624
• Descrizione fisica: 294 p. ; 24 cm
• Collana: Bibliothèque d'histoire du droit et droit romain ; 23
• Disciplina: 944.04
• Locazione: SDI
• Collocazione: SDI-G 144
• Lingua di pubblicazione: Francese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

The grand Turk : Sultan Mehmet II-- conqueror of Constantinople, master of an empire and lord of two seas / / John Freely

• Record Nr.: UNINA9910535290803321
• Autore: Freely John
• Pubbl/distr/stampa: London : , : I.B. Tauris, , 2010
• ISBN: 0-85773-022-3; 1-283-04821-3; 9786613048219; 0-85771-928-9
• Descrizione fisica: 1 online resource (296 p.)
• Disciplina: 956.10152092
• Soggetti: Electronic books.; Sultan Ahmet Parkı (Istanbul, Turkey)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "First published and reprinted twice in 2009."
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Contents; Acknowledgements; Turkish Spelling and Pronunciation; Maps and Illustrations; Prologue: Portrait of a Sultan; 1. The Sons of Osman; 2. The Boy Sultan; 3. The Conquest of Constantinople; 4. Istanbul, Capital of the Ottoman Empire; 5. Europe in Terror; 6. War with Venice; 7. The House of Felicity; 8. A Renaissance Court in Istanbul; 9. The Conquest of Negroponte; 10. Victory over White Sheep; 11. Conquest of the Crimea and Albania; 12. The Siege of Rhodes; 13. The Capture of Otranto; 14. Death of the Conqueror; 15. The Sons of the Conqueror; 16. The Tide of Conquest Turns; 17. The Conqueror's CityNotes; Glossary; The Ottoman Dynasty; Bibliography; Index
• Sommario/riassunto: Sultan Mehmet II, the Grand Turk, known to his countrymen as Fatih, 'the Conqueror', and to much of Europe as 'the present Terror of the World', was once the most feared and powerful ruler in the world. The seventh of his line to rule the Ottoman Turks, Mehmet was barely 21 when he conquered Byzantine Constantinople, which became Istanbul and the capital of his mighty empire. Mehmet reigned for 30 years, during which time his armies extended the borders of his empire halfway across Asia Minor and as far into Europe as Hungary and Italy. ; Three popes called for crusades against him as Christian

Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R / / Bharatendra Rai

• Record Nr.: UNINA9910793816103321
• Autore: Rai Bharatendra
• Pubbl/distr/stampa: Birmingham, England ; ; Mumbai : , : Packt, , [2019]; ©2019
• ISBN: 1-78953-498-4
• Edizione: [1st edition]
• Descrizione fisica: 1 online resource (vii, 337 pages) : illustrations
• Disciplina: 519.502855133
• Soggetti: R (Computer program language)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di bibliografia: Includes bibliographical references.
• Sommario/riassunto: Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key Features Implement deep learning algorithms to build AI models with the help of tips and tricks Understand how deep learning models operate using expert techniques Apply reinforcement learning, computer vision, GANs, and NLP using a range of datasets Book Description Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them. This deep learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural networks, deep learning architectures, and the fundamentals for implementing deep learning with R. The book will also take you through using important deep learning libraries such as Keras-R and TensorFlow-R to implement deep learning algorithms within applications. You will get up to speed ; with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural network. By the end of this book, you will be ready to implement your knowledge and newly acquired skills for applying deep learning algorithms in R through real-world examples. What you will learn Learn how to create binary and multi-class deep neural network models Implement GANs for generating new images Create autoencoder neural networks for image dimension reduction, image de-noising and image correction Implement deep neural networks for performing efficient text classification Learn to define a recurrent convolutional network model for classification in Keras Explore best practices and tips for performance optimization of various deep learning models Who this book is for This book is for data scientists, machine learning practitioners, deep learning researchers and AI enthusiasts who want to develop their skills and knowledge to implement deep learning techniques and algorithms using the...