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Deep Learning in de praktijk

voor het opbouwen van verbeter- en verandercapaciteit van leraren, scholen, districten en systemen. Deep Learning in de praktijk biedt een rijk aanbod;

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Deep Learning

zijn om verdiepend leren in de praktijk zichtbaar te maken. De auteurs beschouwen Deep Learning als een essentieel leer- en ontwikkelproces van de leerlingen;

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Advanced Deep Learning with R

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key;

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Meerwaarde van e-learning in de praktijk

Meerwaarde van e-learning in de praktijk brengt dertien geslaagde implementaties van onderwijsvernieuwing in beeld vanuit het gezichtspunt;

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R Deep Learning Cookbook

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book * Master;

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Practical MATLAB Deep Learning

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;

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Practical MATLAB Deep Learning

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;

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Deep Learning for Data Analytics

Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety;

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Concepts and Real-Time Applications of Deep Learning

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;

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Pro Deep Learning with TensorFlow

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;

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Learn Keras for Deep Neural Networks

on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use;

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Deep Reinforcement Learning with Python

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics;

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Advanced Deep Learning for Engineers and Scientists

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;

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Deep Learning in Bioinformatics

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how;

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Deep Learning with Structured Data

identifying cats in YouTube videos. Powerful deep learning techniques can efficiently extract insight from the kind of structured data collected by;

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R Deep Learning Essentials

Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for;

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Facilitating Deep Learning

Deep learning is a committed approach to learning. It is a process of constructing and interpreting new knowledge in light of prior;

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Facilitating Deep Learning

Deep learning is a committed approach to learning. It is a process of constructing and interpreting new knowledge in light of prior;

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The Development of Deep Learning Technologies

explores the cutting edge of deep learning studies. A subfield of machine learning, deep learning differs from conventional machine learning;

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Deep Learning in Data Analytics

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various;

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Deep Learning in Biometrics

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start;

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Strategies for Deep Learning with Digital Technology

How to utilize digital technology to engage learners in deep learning is an issue that warrants significant attention in 21st century;

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Data als succesfactor met MyLab NL toegangscode

data binnen organisaties kunt organiseren, er kennis en informatie uit kunt verkrijgen en die in de praktijk kunt toepassen. Daarbij spelen;

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PyTorch Deep Learning Hands-On

Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch Key Features Internals and principles of PyTorch;

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Beginning Deep Learning with TensorFlow

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as;

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Deep Learning with Python

DESCRIPTION Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech;

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Modern Deep Learning Design and Application Development

Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and;

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