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Tree-Based Convolutional Neural Networks

This book proposes a novel neural architecture, tree-based convolutional neural networks (TBCNNs),for processing tree-structured data;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing

in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural;

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Practical TensorFlow.js

applications.You'll work with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks;

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Practical TensorFlow.js

'll work with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks;

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Face Image Analysis with Convolutional Neural Networks

facial analysis with machine learning techniques and describe common speci c sub-problems like face detection, facial feature detection and face;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets

in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural;

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

databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous;

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

databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous;

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Hybrid Machine Intelligence for Medical Image Analysis

-aided detection of mammographic lesions using convolutional neural networks.;

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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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Learning Approaches in Signal Processing

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security;

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Deep Learning from Scratch Building with Python from First Principles

neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural;

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Convolutional Neural Networks in Visual Computing

neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur;

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Convolutional Neural Networks in Visual Computing

neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur;

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Hands-on Machine Learning with Python

third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks;

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Artificial Neural Networks and Machine Learning - ICANN 2017

; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image;

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Artificial Neural Networks and Machine Learning - ICANN 2017

; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image;

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Hands-On Convolutional Neural Networks with TensorFlow

of Convolutional Neural Networks Harness Python and Tensorflow to train CNNs Build scalable deep learning models that can process millions of items Book;

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Hands-On Image Generation with TensorFlow

image of your face, turn photos into paintings, and generate photorealistic images Discover how you can build deep neural networks with;

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Hands-On Deep Learning with TensorFlow

classification with TensorFlow * Design and train a multilayer neural network with TensorFlow * Intuitively understand convolutional neural networks;

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Image Texture Analysis

convolutional neural networks. This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year;

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TensorFlow For Dummies

TensorBoard Perform image recognition with convolutional neural networks (CNNs) Analyze sequential data with recurrent neural networks (RNNs;

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Hands-on Machine Learning with Python

third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks;

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Neural Network Programming with Java

discussed in this book:-Understanding Neural Networks-Learning in Neural Networks-Java Lego Robots Neural Network-Convolutional Neural Networks;

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Practical Convolutional Neural Networks

Artificial Intelligence enthusiasts who want to move one step further in building Convolutional Neural Networks. Get hands-on experience with extreme;

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AI and Deep Learning in Biometric Security

convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to;

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Neural Information Processing

follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred;

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