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Supervised Learning with Complex-valued Neural Networks

complex-valued neural networks and derive their learning algorithms to represent these signals at every step of the learning process. This;

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Handbook of Image Processing and Computer Vision

comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The;

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Brain Theory and Neural Networks

A biological neural network passes information between receptors and effectors by using electrical impulses. Neural networks are a;

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Focus on Artificial Neural Networks

artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development;

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Progress in Neural Networks

This is a study of the use of neural networks for machine vision. It is part of a series which reviews research in natural and synthetic;

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Vision: Images, Signals and Neural Networks

At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision;

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Hands-On Computer Vision with TensorFlow 2

. Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural;

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Advanced Deep Learning with Python

behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular;

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Handbook of Image Processing and Computer Vision: Volume 1

comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The;

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Neurocomputing Research Developments

artificial neural networks. Topics include vision, signal and pattern processing, learning, neurodynamics, associative memory; hardware and so on;

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Progress in Neurocomputing Research

artificial neural networks. Topics include vision, signal and pattern processing, learning, neurodynamics, associative memory, hardware and so on;

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Artificial Neural Networks

are hard to solve using ordinary rule-based programming, including computer vision and speech recognition.;

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Computational Vision and Bio Inspired Computing

This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS;

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The Deep Learning Workshop

Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text Key;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech;

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Neural Networks for Vision, Speech and Natural Language

This text is written by researchers at BT Laboratories and at universities who have investigated a set of problems in vision, speech and;

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Biological and Computer Vision

smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other;

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Biological and Computer Vision

smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other;

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Advanced Deep Learning with R

generating new images Create autoencoder neural networks for image dimension reduction, image de-noising and image correction Implement deep neural;

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Neural Advances in Processing Nonlinear Dynamic Signals

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as;

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Computational Modelling of Objects Represented in Images III

Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III contains all contributions presented;

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Python Deep Learning

neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks;

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Recent Progress in Artificial Neural Networks

Artificial neural networks (ANNs) are computing systems that are motivated by the design and functioning of biological neural networks. Its;

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Neural Networks with Keras Cookbook

multiple applications, including a self-driving car using Convolutional Neural Networks. We will generate images while leveraging GANs and also by;

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Advances in Neural Networks ISNN 2015

vision, signal processing, machine learning, and optimization.;

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Sensory Neural Networks

Sensory information is detected and transformed by sensory neural networks before reaching higher levels of processing. These networks need;

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