Описание: Introduction PART I: SOURCE STUDIES 1. The Ab? Bas?r Tradition: Qur nic Verses on the Merits of the Sh a; E.Kohlberg 2. Criteria for Emending the Text of the Qur'an; B.Sadeki 3. Mu wiya in the Hij?z: The Study of a Tradition; N.Haider PART II: SHI'I TRADITION 4. The Kit?b al-was.iyya of s? b. al-Mustaf?d: The History of a Text; H. Ansari 5. Women in Im?m? Biographical Collections; A. Sayeed 6. Why Incline to the Left in Prayer? Sectarianism, Dialectic, and Archaeology in Im?m? Sh ism; M. Cook PART III: ISLAMIC LEGAL TRADITIONS 7. Dissent and Uncertainty in the Process of Legal Norm Construction in Muslim Sunn? Law; B. Johansen 8. Islamic Legal Minimalism: Legal Maxims and Lawmaking When Jurists Disappear; I.A. Rabb 9. Cultivating Human Rights: Islamic Law and the Humanist Imperative; K.A.El Fadl PART IV: PHILOSOPHICAL TRADITIONS 10. Yah. y? b. ?Ad?'s Discussion of the Prolegomena to the Study of a Philosophical Text; R. Wisnovsky 11. Two Commentaries on Najm al-D?n al-K?tib?'s al-Shamsiyya, Copied in the Hand of David b. Joshua Maimonides (fl. ca. 1335-1410 CE ); S. Schmidtke 12. Logic in the Khayr?b?d? School of India: A Preliminary Exploration; A. Ahmed PART V: HISTORICAL TRADITIONS 13. The Eastern Travels of Solomon: Reimagining Persepolis and the Iranian Past; R. Mottahedeh 14. Al-Hasan b. M?s? al-Nawbakht? on the Views of Astronomers and Astrologers; W. Madelung 15. Conversion and Law: A Muslim-Christian Comparison; R. Bulliet PART VI: THE SCHOLARLY OUTPUT OF PROFESSOR HOSSEIN MODARRESSI Bibliography of Works by Professor Hossein Modarressi; I.A.Rabb and H. Ansari A Bibliographical Note on the Persian Works; H. Kamaly Contributors Index
Автор: Daneshtala Masoud, Modarressi Mehdi Название: Hardware Architectures for Deep Learning ISBN: 1785617680 ISBN-13(EAN): 9781785617683 Издательство: Неизвестно Рейтинг: Цена: 24944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Coordinated by two expert editors, and written by an international team of authors with a wide range of expertise, this timely book is the first to address the hot topic of deep learning in neural networks. It presents and discusses innovations in the design, modelling, implementation, and optimisation of hardware platforms for neural networks. This is a key resource that provides an overview of the field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based technology.
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