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Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives
Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives
Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of...
From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence

The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers in the second half of the 20th century that revolutionized scientific data analysis twofold: Tedious pencil and paper work could be successively transferred to the emerging software applications so sweat and tears...

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science)
Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science)
This book was originally titled “Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigms.” I have changed the subtitle to better represent the contents of the book. The basic philosophy of the original version has been kept in the new edition. That is, the book covers the most essential and widely employed material...
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.

Key Features

  • Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
  • ...
Raspberry Pi 3 Cookbook for Python Programmers: Unleash the potential of Raspberry Pi 3 with over 100 recipes, 3rd Edition
Raspberry Pi 3 Cookbook for Python Programmers: Unleash the potential of Raspberry Pi 3 with over 100 recipes, 3rd Edition

A recipe-based guide to programming your Raspberry Pi 3 using Python

Key Features

  • Leverage the power of Raspberry Pi 3 using Python programming
  • Create 3D games, build neural network modules, and interface with your own circuits
  • Packed with clear,...
An Introduction to Optimization, 2nd Edition
An Introduction to Optimization, 2nd Edition
A modern, up-to-date introduction to optimization theory and methods
This authoritative book serves as an introductory text to optimization at the senior undergraduate and beginning graduate levels. With consistently accessible and elementary treatment of all topics, An Introduction to Optimization, Second Edition helps students build a
...
Development of Dopaminergic Neurons (Neuroscience Intelligence Unit)
Development of Dopaminergic Neurons (Neuroscience Intelligence Unit)

The catecholamine dopamine (DA) plays a key role in the physiology of most vertebrate and invertebrate organisms. In addition to its role as a transmitter in the nervous system, it has a role in development. The relatively few DA neurons in the mammalian brain have important roles in many neural functions including fine motor integration,...

Brainware : Bio-Inspired Architecture and Its Hardware Implementation
Brainware : Bio-Inspired Architecture and Its Hardware Implementation

The human brain, the ultimate intelligent processor, can handle ambiguous and uncertain information adequately. The implementation of such a human-brain architecture and function is called "brainware". Brainware is a candidate for the new tool that will realize a human-friendly computer society. As one of the LSI implementations of...

Human - Computer Systems Interaction: Backgrounds and Applications 2: Part 1
Human - Computer Systems Interaction: Backgrounds and Applications 2: Part 1
A new procedure for combined validation of learning models – built for specifically uncertain data – is briefly described. The procedure, called the queue validation, relies on a combination of resubstitution with the modified learn-andtest paradigm. In the initial experiment [Burda and Hippe 2010] the developed...
Circuit Complexity and Neural Networks (Foundations of Computing)
Circuit Complexity and Neural Networks (Foundations of Computing)

Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how fast the computation time and number of neurons grow as the...

Learn ARCore - Fundamentals of Google ARCore: Learn to build augmented reality apps for Android, Unity, and the web with Google ARCore 1.0
Learn ARCore - Fundamentals of Google ARCore: Learn to build augmented reality apps for Android, Unity, and the web with Google ARCore 1.0

Create next-generation Augmented Reality and Mixed Reality apps with the latest version of Google ARCore

Key Features

  • Harness the power of the Google's new augmented reality (AR) platform ARCore to build cutting-edge Augmented reality apps
  • Learn core concepts of...
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