Neural networks and learning machines /

Neural networks and learning machines /

Bibliografische gegevens
Hoofdauteur:	Haykin, Simon S., 1931-
Formaat:	Boek
Taal:	English
Gepubliceerd in:	Uttar Pradesh, India : Pearson, c2016 [2009].
Editie:	Third edition
Onderwerpen:	Neural networks (Computer science) Adaptive filters. Computer science
Classic Catalogue:	View this record in Classic Catalogue

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Neural Networks and Learning Machines
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Pneumonia Disease detection using the convolutional neural network
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Deep 3D convolutional neural network in early detection of Lung cancer
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Connected hidden neurons (CHNNet): an artificial neural network for rapid convergence
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Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
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Analysing neural network models for detecting panic attacks with uncertainty analysis
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Segmentation based Kidney Tumor Classification using Deep Neural Network
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An introduction to neural networks /
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Malware Detection Using Neural Network
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An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
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Deepfake detection using neural networks
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Bone age comparison using convolutional neural network
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Detection of handwritten text using convolutional neural network
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Music genre classification with convolutional neural network
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Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
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Predicting brain age from EEG signals using machine learning and neural network
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Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
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Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
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Comparative analysis of neural network Models for peripheral blood cell image classification
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AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP
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Classification of different magnetic structures from image data using deep neural networks
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A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
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