Neural Networks 12

Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret textKey FeaturesUnderstand how to implement deep learning with TensorFlow……続きを見る

Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and policy-based methods with this practical guideKey FeaturesU……続きを見る

This text provides a concise introduction to non-equilibrium thermodynamics of open, complex systems using a first-principles approach. In the first chapters, the principles of thermodynamics of com……続きを見る

This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare. It will be a useful guide to identify, categorise and assess the role……続きを見る

We create technology enabling us to do things never before possible and it ultimately changes the way we live, work, play, and interact with each other. Throughout human history, the democratization……続きを見る

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more e……続きを見る

Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCVKey FeaturesBuild and train powerful neural network ……続きを見る

The concise guide to artificial intelligence for business people and commercially oriented data scientists Key Features Find out how artificial intelligence is shaping the future of businesses Disc……続きを見る

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning……続きを見る

Work through practical recipes to learn how to solve complex machine learning and deep learning problems using PythonKey FeaturesGet up and running with artificial intelligence in no time using hand……続きを見る

Businesses today are faced with a highly competitive market and fast-changing technologies. In order to meet demanding customers’ needs, they rely on high quality software. A new field of study, sof……続きを見る

Eine Einführung in das maschinelle Lernen für Entwickler Alle wesentlichen Ideen, Werkzeuge und Konzepte des supervised Learning, von neuronalen Netzen und des Deep Learning werden präsentiert Der……続きを見る

An example-rich guide for beginners to start their reinforcement and deep reinforcement learning journey with state-of-the-art distinct algorithmsKey FeaturesCovers a vast spectrum of basic-to-advan……続きを見る

NumPy Recipes takes practical approach to the basics of NumPy. This book is primarily aimed at developers who have at least a small amount of Python experience, who wish to use the NumPy library for……続きを見る

Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world……続きを見る

Discover how to integrate KNIME Analytics Platform with deep learning libraries to implement artificial intelligence solutionsKey FeaturesBecome well-versed with KNIME Analytics Platform to perform ……続きを見る

Get hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry problems with the help of expert tips ……続きを見る

An integrative overview of network approaches to neuroscience, exploring the origins of brain complexity and the link between brain structure and function “This is where we should be looking for sol……続きを見る

This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to s……続きを見る

Master advanced techniques and algorithms for deep learning with PyTorch using real-world examplesKey FeaturesUnderstand how to use PyTorch 1.x to build advanced neural network modelsLearn to perfor……続きを見る

Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to specify social psychological processes in terms of formal rules that can be im……続きを見る

Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all……続きを見る

This compendium provides a detailed account of the lognormality principle characterizing the human motor behavior by summarizing a sound theoretical framework for modeling such a behavior, introduci……続きを見る

Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operation……続きを見る

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), s……続きを見る

This book is about computational models of reading, or models that explain (and often simulate) the mental processes that allow us to convert the marks on a printed page into the representations tha……続きを見る

Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learningKey FeaturesDevelop and deploy deep reinforcement learning-based soluti……続きを見る

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexin……続きを見る

This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of vide……続きを見る

Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automateKey FeaturesUnderstand parallelism and how to achieve it in Pyth……続きを見る