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Music Emotion Recognition

de Yi-Hsuan Yang, Homer H. Chen ...

Series series Multimedia Computing, Communication and Intelligence
Providing a comprehensive review of existing work in music emotion developed in psychology and engineering, this book explains how to account for the subjective nature of emotion perception in the development of automatic music emotion recognition (MER) systems. Among the first publications dedicated to automatic MER, it begins with a complete introduction to the essential aspects of MER-including ... Leer más

$131.99 USD

Providing a comprehensive review of existing work in music emotion developed in psychology and engineering, this book explains how to account for the subjective nature of emotion perception in the development of automatic music emotion recognition (MER) systems. Among the first publications dedicated to automatic MER, it begins with a complete introduction to the essential aspects of MER-including
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Generative Deep Learning

Teaching Machines To Paint, Write, Compose, and Play

de David Foster ...

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.The book ... Leer más

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Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.The book
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Python Deep Learning

Next generation techniques to revolutionize computer vision, AI, speech and data analysis

de Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants ...

Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features\[\*\] Explore and create intelligent systems using cutting-edge deep learning techniques\[\*\] Implement deep learning algorithms and work with revolutionary libraries in Python\[\*\] Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and ... Leer más

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Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features\[\*\] Explore and create intelligent systems using cutting-edge deep learning techniques\[\*\] Implement deep learning algorithms and work with revolutionary libraries in Python\[\*\] Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and
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Generative AI with Python and PyTorch

Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

de Joseph Babcock, Raghav Bali ...

Master GenAI techniques to create images and text using variational autoencoders (VAEs), generative adversarial networks (GANs), LSTMs, and large language models (LLMs)Key FeaturesImplement real-world applications of LLMs and generative AIFine-tune models with PEFT and LoRA to speed up trainingExpand your LLM toolbox with Retrieval Augmented Generation (RAG) techniques, LangChain, and ... Leer más

$39.59 USD o gratis con Kobo Plus

Master GenAI techniques to create images and text using variational autoencoders (VAEs), generative adversarial networks (GANs), LSTMs, and large language models (LLMs)Key FeaturesImplement real-world applications of LLMs and generative AIFine-tune models with PEFT and LoRA to speed up trainingExpand your LLM toolbox with Retrieval Augmented Generation (RAG) techniques, LangChain, and
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Informed Machine Learning

Edición de Daniel Schulz, Christian Bauckhage ...

Series series Cognitive Technologies
This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of physical informed neural networks. The book is ... Leer más

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This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of physical informed neural networks. The book is
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Introduction To Machine Learning In Quantitative Finance, An

de Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu ...

Series series Advanced Textbooks In Mathematics
In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative ... Leer más

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In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative
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Introduction to Deep Learning

From Logical Calculus to Artificial Intelligence

de Sandro Skansi ...

Series series Computer Science (R0)
This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional ... Leer más

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This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional
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Hands-On Neural Networks with Keras

Design and create neural networks using deep learning and artificial intelligence principles

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Your one-stop guide to learning and implementing artificial neural networks with Keras effectivelyKey FeaturesDesign and create neural network architectures on different domains using KerasIntegrate neural network models in your applications using this highly practical guideGet ready for the future of neural networks through transfer learning and predicting multi network modelsBook ... Leer más

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Your one-stop guide to learning and implementing artificial neural networks with Keras effectivelyKey FeaturesDesign and create neural network architectures on different domains using KerasIntegrate neural network models in your applications using this highly practical guideGet ready for the future of neural networks through transfer learning and predicting multi network modelsBook
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Exploratory Data Analysis with MATLAB

de Wendy L. Martinez, Angel R. Martinez, Jeffrey Solka ...

Series series Chapman & Hall/CRC Computer Science & Data Analysis
Praise for the Second Edition:"The authors present an intuitive and easy-to-read book. … accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB."—Adolfo Alvarez Pinto, International Statistical Review"Practitioners of EDA who use MATLAB will want a copy of this book. … The authors have done a great service by ... Leer más

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Praise for the Second Edition:"The authors present an intuitive and easy-to-read book. … accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB."—Adolfo Alvarez Pinto, International Statistical Review"Practitioners of EDA who use MATLAB will want a copy of this book. … The authors have done a great service by
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Emotion Recognition

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de Amit Konar, Aruna Chakraborty ...

A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signalsThis book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special ... Leer más

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A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signalsThis book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special
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Computational Neuroscience and Cognitive Modelling

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de Britt Anderson ...

"For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed."- Anjan Chatterjee, Professor of Neurology, University of Pennsylvania"Anderson provides a gentle introduction to computational aspects ... Leer más

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"For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed."- Anjan Chatterjee, Professor of Neurology, University of Pennsylvania"Anderson provides a gentle introduction to computational aspects
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Deep Learning

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DEEP LEARNINGA concise and practical exploration of key topics and applications in data scienceIn Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major
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Multimedia Computing, Communication and Intelligence Serie de eBooks

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