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Music Emotion Recognition

von Yi-Hsuan Yang, Homer H. Chen …

Serien 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 … Lesen Sie mehr

€ 131,80

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

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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 … Lesen Sie mehr

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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

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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 … Lesen Sie mehr

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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

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von 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 … Lesen Sie mehr

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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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Grokking Machine Learning

von Luis Serrano …

Discover valuable machine learning techniques you can understand and apply using just high-school math.In Grokking Machine Learning you will learn:Supervised algorithms for classifying and splitting dataMethods for cleaning and simplifying dataMachine learning packages and toolsNeural networks and ensemble methods for complex datasetsGrokking Machine Learning teaches you how to apply ML to your … Lesen Sie mehr

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Discover valuable machine learning techniques you can understand and apply using just high-school math.In Grokking Machine Learning you will learn:Supervised algorithms for classifying and splitting dataMethods for cleaning and simplifying dataMachine learning packages and toolsNeural networks and ensemble methods for complex datasetsGrokking Machine Learning teaches you how to apply ML to your
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Informed Machine Learning

Bearbeitet von Daniel Schulz, Christian Bauckhage …

Serien 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 … Lesen Sie mehr

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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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MATLAB for Neuroscientists

An Introduction to Scientific Computing in MATLAB

von Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos, Pascal Wallisch …

MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and … Lesen Sie mehr

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MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and
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Introduction To Machine Learning In Quantitative Finance, An

von Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu …

Serien 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 … Lesen Sie mehr

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von Sandro Skansi …

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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 … Lesen Sie mehr

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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

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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

von Wendy L. Martinez, Angel R. Martinez, Jeffrey Solka …

Serien series Chapman & Hall/CRC Computer Science & Data Analysis
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Emotion Recognition

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von Amit Konar, Aruna Chakraborty …

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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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Anderen Lesern gefiel auch

Generative Deep Learning

Python Deep Learning

Generative AI with Python and PyTorch

Grokking Machine Learning

Informed Machine Learning

MATLAB for Neuroscientists

Introduction To Machine Learning In Quantitative Finance, An

Introduction to Deep Learning

Hands-On Neural Networks with Keras

Exploratory Data Analysis with MATLAB

Emotion Recognition