English
- استرجاع مجاني وسهل
- أفضل العروض
Art in the Age of Machine Learning
الآن:
219.00 د.إ.شامل ضريبة القيمة المضافة
توصيل مجاني
باقي 4 وحدات في المخزونتوصيل مجانيباقي 4 وحدات في المخزون
احصل عليه خلال 13 - 18 فبراير
احصل على 5% رصيد مسترجع باستخدام بطاقة بنك المشرق نون الائتمانية. اشترك الآن. قدّم الحين
خيارات ثانية
لا يوجد منتجات متاحة
1
توصيل مجاني لنقطة نون ومراكز الاستلام
معرفة المزيد
إرجاع سهل لكل المنتجات في هذا العرض.
المنتج كما في الوصف
70%
شريك لنون منذ
7+ سنينالمواصفات
| الناشر | MIT Press |
| رقم الكتاب المعياري الدولي 13 | 9780262046183 |
| رقم الكتاب المعياري الدولي 10 | 262046180 |
| الكاتب | Sofian Audry |
| اللغة | English |
| وصف الكتاب | An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes. |
| تاريخ النشر | 20211123 |
| عدد الصفحات | 214 |
Art in the Age of Machine Learning
تمت الإضافة لعربة التسوق
مجموع السلة 219.00 د.إ.
