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Modern Deep Learning Design and Application Development

and apply methods successfully but to think critically about it. Modern Deep Learning Design and Methods is ideal for readers looking to;

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Deep Learning

This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent;

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Embedded Deep Learning

design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing;

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Deep Learning: Algorithms and Applications

This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent;

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Medical Imaging and Computer Aided Diagnosis

discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage;

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Development and Analysis of Deep Learning Architectures

This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so;

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Development and Analysis of Deep Learning Architectures

This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so;

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Thinking Machines

Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic;

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Deep Learning

Deep Learning provides an overview of general deep learning methodology and its applications to a variety of signal and information;

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Modular Programming with PHP 7

that are relevant to modular application development * Write manageable code based on the GoF design patterns and SOLID principles * Define;

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Modern Engineering for Design of Liquid-Propellant Rocket Engines

From the component design, to the subsystem design, to the engine systems design, engine development and flight-vehicle application, this;

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Deep Network Design for Medical Image Computing

Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design;

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Deep Learning on Edge Computing Devices

other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep learning. Applications are;

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Emerging Deep Learning Applications of Short Range Radars

This exciting new resource presents emerging applications of artificial intelligence and deep learning in short-range radar. The book;

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Deep Learning for Hyperspectral Image Analysis and Classification

architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer;

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Deep Learning for Hyperspectral Image Analysis and Classification

architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer;

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R Deep Learning Cookbook

. What You Will Learn * Build deep learning models in different application areas using TensorFlow, H2O, and MXnet. * Analyzing a Deep;

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Trends in Deep Learning Methodologies

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep;

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Learning Theories and the Design of E-Learning Environments

. The book reveals the application of pedagogical models to the design of e-learning environments by discussing theories and showing actual;

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Deep Learning through Sparse and Low-Rank Modeling

analytic tools to guide the design and interpretation of deep learning models. The development of the theory and models is supported by a wide;

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Alice and Bob Learn Application Security

) Common Pitfalls Application Security Programs Securing Modern Applications Software Developer Security Hygiene Alice and Bob Learn;

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Real-Time Web Application Development

Design, develop, and deploy a real-world web application by leveraging modern open source technologies. This book shows you how to use;

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Product Design

engineering and teardowns offer a new better paradigm for design instruction, permitting a modern learning cycle of experience, hypothesis;

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Strategies for Deep Learning with Digital Technology

education. Deep learning refers to learners engagement in critical and creative thinking, making inferences and transferring knowledge. Modern;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and;

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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques

Learning architectures are being increasingly used in day to day applications where traditional machine learning and deep learning algorithms were;

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