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Artificial Neural Networks

, medical image fusion based on pulse coupled neural networks, artificial neural networks for intrusion detection, recognition of Arabic sign;

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Computational Intelligence in Pattern Recognition

neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining;

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Artificial Intelligence for Humans, Volume 3

of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation;

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Deep Learning with Keras

you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this;

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Fault Recognition in a Four Stroke Internal Combustion (IC) Engine. an Artificial Neural Network (Ann) Based Approach

Fault Recognition in a Four Stroke Internal Combustion (IC) Engine. an Artificial Neural Network (Ann) Based Approach is een boek;

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Advances in Computational Intelligence

systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent;

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Advances in Computational Intelligence

systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent;

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Advanced Deep Learning with R

speed with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using;

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Computer Vision and Image Processing

Learning.Part II: Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and;

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The Deep Learning with PyTorch Workshop

complexity of neural network architectures. The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications;

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Pattern Recognition and Computer Vision

Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.;

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Computer Vision and Image Processing

Learning.Part II: Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and;

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Deep Learning for Data Analytics

techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers;

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Mastering Computer Vision with TensorFlow 2.x

recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

Opportunities is an essential reference source that presents a solution to developing intelligent pattern recognition Apps on iOS devices based on;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

Opportunities is an essential reference source that presents a solution to developing intelligent pattern recognition Apps on iOS devices based on;

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Hardware Architectures for Deep Learning

neural networks. The rapid growth of server, desktop, and embedded applications based on deep learning has brought about a;

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Neural Information Processing

from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based;

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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured;

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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured;

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Hands-On Deep Learning with R

Design a feedforward neural network to see how the activation function computes an output Create an image recognition model using convolutional;

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Deep Learning Essentials

the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural;

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The Deep Learning Workshop

then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs;

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Hands-On Deep Learning for IoT

. You'll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage;

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Hands-On Deep Learning with TensorFlow

for image recognition * Bootstrap a neural network from simple to more accurate models * See how to use TensorFlow with other types;

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