Learn IT - Books tags neural

Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning

Apress, 2021

Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security.

You’ll learn the differences between...

Biometrics: Theory, Methods, and Applications (IEEE Press Series on Computational Intelligence)

John Wiley & Sons, 2009

An in-depth examination of the cutting edge of biometrics

This book fills a gap in the literature by detailing the recent advances and emerging theories, methods, and applications of biometric systems in a variety of infrastructures. Edited by a panel of experts, it provides comprehensive coverage of:

Problems & Solutions In Scientific Computing With C++ And Java Simulations

World Scientific Publishing, 2004

Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. The purpose of this book is to supply a collection of problems together with their detailed solution which will prove to be valuable to students as well as to research workers in the...

Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python

Apress, 2019

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms...

Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Packt Publishing, 2018

Build and deploy powerful neural network models using the latest Java deep learning libraries

Key Features

Understand DL with Java by implementing real-world projects

Master implementations of various ANN models and build your own DL systems

Develop...

Smart Antennas: State of the Art (Eurasip Book Series on Signal Processing & Communications)

Hindawi Publishing, 2005

Smart Antennas—State of the Art brings together the broad expertise of 41 European experts in smart antennas. They provide a comprehensive review and an extensive analysis of the recent progress and new results generated during the last years in almost all fields of smart antennas and MIMO (multiple-input multiple-output) transmission. The...

Neural Networks (Grassroots)

Palgrave Macmillan, 2000

Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior knowledge of neural networks. These networks are explained and discussed by means of examples, so that...

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

O'Reilly, 2018

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Deep Learning for Natural Language Processing: Creating Neural Networks with Python

Apress, 2018

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical prerequisites...

Lysophospholipid Receptors: Signaling and Biochemistry

John Wiley & Sons, 2013

The current state of the science supporting new research in lysophospholipids

The study of lysophospholipids exploded with the discovery of cell surface receptors on both lysophosphatidic acid (LPA) and sphingosine 1-phosphate (S1P). Since then, thousands of original research reports—ranging from fundamental cell...

Neural Systems for Control

Apress, 1997

Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems...

Data Mining : Concepts, Models, Methods, and Algorithms

John Wiley & Sons, 2002

We are surrounded by data, numerical and otherwise, which must be analyzed and processed to convert it into information that informs, instructs, answers, or otherwise aids understanding and decision-making. Due to the ever-increasing complexity and size of today’s data sets, a new term, data mining, was created to describe the...

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