Learn IT - Books tags neural

Hands-On Java Deep Learning for Computer Vision: Implement machine learning and neural network methodologies to perform computer vision-related tasks

Packt Publishing, 2019

Leverage the power of Java and deep learning to build production-grade Computer Vision applications

Key Features

Build real-world Computer Vision applications using the power of neural networks

Implement image classification, object detection, and face recognition

...

Pattern Recognition Using Neural and Functional Networks (Studies in Computational Intelligence)

Springer, 2008

Biologically inspired computing is different from conventional computing. It has a different feel; often the terminology does not sound like it’s talking about machines. The activities of this computing sound more human than mechanistic as people speak of machines that behave, react, self-organize, learn, generalize, remember and even to...

Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments and Systems

Springer, 2006

Many have heard that six sigma methods are necessary to survive, let alone thrive, in today’s competitive markets, but are not really sure what the methods are or how or when to use them.

Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and details...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Springer, 2019

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Multimedia Networking: From Theory to Practice

Cambridge University Press, 2009

This authoritative guide is the first to provide a complete system design perspective based on existing international standards and state-of-the-art networking and infrastructure technologies, from theoretical analyses to practical design considerations. The four most critical components involved in a multimedia networking system - data...

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence

Apress, 2017

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming...

Information Theory, Inference and Learning Algorithms

Cambridge University Press, 2003

"...a valuable reference...enjoyable and highly useful." American Scientist

"...an impressive book, intended as a class text on the subject of the title but having the character and robustness of a focused encyclopedia. The presentation is finely detailed, well documented, and stocked with artistic flourishes."...

C++ for Mathematicians: An Introduction for Students and Professionals

CRC Press, 2006

The first book available on C++ programming that is written specifically for a mathematical audience, C++ for Mathematicians omits the language's more obscure features in favor of the aspects of greatest utility for mathematical work. Emphasizing the essential role of practice as part of the learning process, the book is ideally designed...

Introduction to Fuzzy Logic using MATLAB

Syngress Publishing, 2006

The world we live in is becoming ever more reliant on the use of electronics and computers to control the behavior of real-world resources. For example, an increasing amount of commerce is performed without a single banknote or coin ever being exchanged. Similarly, airports can safely land and send off airplanes without ever looking out of a...

Brains, Machines, and Mathematics

Springer, 1987

This is a book whose time has come-again. The first edition (published by McGraw-Hill in 1964) was written in 1962, and it celebrated a number of approaches to developing an automata theory that could provide insights into the processing of information in brainlike machines, making it accessible to readers with no more than a college...

Modeling and Simulation of Systems Using MATLAB and Simulink

CRC Press, 2009

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB^® and...

Hebbian Learning and Negative Feedback Networks (Advanced Information and Knowledge Processing)

Springer, 2004

From the reviews of the first edition:

"This book is concerned with developing unsupervised learning procedures and building self organizing network modules that can capture regularities of the environment. the book provides a detailed introduction to Hebbian learning and negative feedback neural networks and is suitable for...

Result Page: 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4