سایت CEB:ترجمه تخصصی رشته کامپیوتر - معرفی و دانلود کتب انگلیسی رشته کامپیوتر

امتیاز کاربران

ستاره غیر فعالستاره غیر فعالستاره غیر فعالستاره غیر فعالستاره غیر فعال
 

انتشارات: Clarendon Press · Oxford

 اثر: Christopher M. Bishop

تعداد صفحه: 498

حجم: 4.26MB

جلد کتاب

توضیحات کتاب:

From Foreword By Geoffrey Hinton, Department of Computer Science, University of Toronto:
Bishop is a leading researcher who has a deep understanding of the material and has gone to great lengths to organize it into a sequence that makes sense. He has wisely avoided the temptation to try to cover everything and has therefore omitted interesting topics like reinforcement learning, Hopfield Networks and Boltzmann machines in order to focus on the types of neural network that are most widely used in practical applications. He assumes that the reader has the basic mathematical literacy required for an undergraduate science degree, and using these tools he explains everything from scratch. Before introducing the multilayer perceptron, for example, he lays a solid foundation of basic statistical concepts. So the crucial concept of overfitting is first introduced using easily visualised examples of one-dimensional polynomials and only later applied to neural networks. An impressive aspect of this book is that it takes the reader all the way from the simplest linear models to the very latest Bayesian multilayer neural networks without ever requiring any great intellectual leaps.

Although Bishop has been involved in some of the most impressive applications of neural networks, the theme of the book is principles rather than applications. Nevertheless, it is much more useful than any of the applications-oriented texts in preparing the reader for applying this technology effectively. The crucial issues of how to get good generalization and rapid learning are covered in great depth and detail and there are also excellent discussions of how to preprocess the input and how to choose a suitable error function for the output.

Contents

  • Statistical Pattern Recognition
  • Probability Density Estimation
  • Single-Layer Networks
  • The Multi-layer Perceptron
  • Radial Basis Functions
  • Error Functions
  • Parameter Optimization Algorithms
  • Pre-Processing and Feature Extraction
  • Learning and Generalization
  • Bayesian Techniques

Appendices

  • Eigenvectors and eigenvalues of real symmetric matrices. Quadratic forms
  • Gaussian integrals in 1 and d dimensions
  • Lagrange multipliers
  • Calculus of variations
  • Solution of minimization problem leading to principal component analysis

آیکن نشانگر نوع فایل در سایت CEBدانلود


برای دانلود کتاب، ثبت درخواست ترجمه، و دریافت رایگان خبرنامه‌های سایت نیاز به ثبت نام دارید.

آیا از خواندن متون ترجمه‌ای بی سر و ته خسته شده‌اید؟ و بدنبال راهی برای بهره‌گیری از یک متن اصیل برای یادگیری هستید؟
آیا وقت کافی برای فهم و یا ترجمه‌ی مطلب خود در اختیار ندارید؟
از خواندن متنی که کارتان گیر آن است کلافه شده‌اید؟
کار را به ما بسپارید، خیالتان راحت!

هم اکنون! سايت CEB را به چند نفر از دوستان خود هم معرفی کنيد؛ با اين کار علاوه بر حمايت از ما، به بالا رفتن کيفيت خدمات و پايين ماندن تعرفه‌ی دانلود هم کمک کرده‌ايد.



dear author and publishers!
If you do not agree that your books be freely available through this site to Iranians - Those who are not subject to the Copy Right law - please contact us through your official email address so that we can identify you as the author or publisher of that books and remove all your books that you don't like to be accessible through this site. Note that only downloadable material can be appeared on this website. Also note that this site is not the source of illegal publication of the books; We only gathered the books accessible via the Internet together and maked these books more accessible to Iranians.


Valid XHTML 1.0 Transitional