Neural Networks category: 100 books

Cover of Python Deep Learning

Python Deep Learning

Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna
Language: English
Release Date: January 16, 2019

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision...
Cover of Keras Deep Learning Cookbook

Keras Deep Learning Cookbook

Over 30 recipes for implementing deep neural networks in Python

by Rajdeep Dua, Manpreet Singh Ghotra
Language: English
Release Date: October 31, 2018

Leverage the power of deep learning and Keras to develop smarter and more efficient data models Key Features Understand different neural networks and their implementation using Keras Explore recipes for training and fine-tuning your neural network models Put your deep learning knowledge to practice...
Cover of Neural Network Systems Techniques and Applications

Neural Network Systems Techniques and Applications

Advances in Theory and Applications

by Cornelius T. Leondes
Language: English
Release Date: February 9, 1998

The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference...
Cover of Neural Networks in Bioprocessing and Chemical Engineering
by D. R. Baughman, Y. A. Liu
Language: English
Release Date: June 28, 2014

Neural networks have received a great deal of attention among scientists and engineers. In chemical engineering, neural computing has moved from pioneering projects toward mainstream industrial applications. This book introduces the fundamental principles of neural computing, and is the first to focus...
Cover of Neural Systems for Control
by Omid Omidvar, David L. Elliott
Language: English
Release Date: February 24, 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...
Cover of Algorithms and Architectures
by Cornelius T. Leondes, Cornelius T. Leondes
Language: English
Release Date: February 9, 1998

This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective...
Cover of Fuzzy Logic and Expert Systems Applications
by Cornelius T. Leondes, Cornelius T. Leondes
Language: English
Release Date: February 9, 1998

This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based...
Cover of Applied Artificial Higher Order Neural Networks for Control and Recognition
by
Language: English
Release Date: May 5, 2016

In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to...
Cover of Hands-On Convolutional Neural Networks with TensorFlow

Hands-On Convolutional Neural Networks with TensorFlow

Solve computer vision problems with modeling in TensorFlow and Python

by Iffat Zafar, Giounona Tzanidou, Richard Burton
Language: English
Release Date: August 28, 2018

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges. Key Features Learn the fundamentals of Convolutional Neural...
Cover of Deep Learning Essentials

Deep Learning Essentials

Your hands-on guide to the fundamentals of deep learning and neural network modeling

by Wei Di, Anurag Bhardwaj, Jianing Wei
Language: English
Release Date: January 30, 2018

Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing,...
Cover of Machine Learning Box Set
by John Slavio
Language: English
Release Date: November 22, 2018

Book 1: Machine Learning This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few examples of the different types of machine learning. Here Is A Preview Of What You'll Learn...   Introduction to Machine...
Cover of Discrete-Time Neural Observers

Discrete-Time Neural Observers

Analysis and Applications

by Alma Y. Alanis, Edgar N. Sanchez
Language: English
Release Date: February 6, 2017

Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete-time unknown nonlinear systems with multiple inputs and outputs. The book includes rigorous mathematical analyses, based on the Lyapunov approach, that guarantee...
Cover of NEURAL NETWORKS
by Raghava Shankar, Srikanth RC cherukupalli-M.TECH
Language: English
Release Date: December 30, 2016

Artificial Nеurаl Nеtwоrkѕ (ANNѕ) аrе biоlоgiсаllу inspired. Specifically, thеу bоrrоw ideas frоm thе mаnnеr in whiсh the humаn brаin wоrkѕ. The humаn brаin iѕ соmроѕеd оf special сеllѕ саllеd nеurоnѕ. Eѕtimаtеѕ оf thе numbеr оf nеurоnѕ in a...
Cover of Deep Learning Fundamentals in Python

Deep Learning Fundamentals in Python

Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow

by Lazy Programmer
Language: English
Release Date: September 25, 2016

Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game. Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory...
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