Deep Learning Techniques For Music Generation
DOWNLOAD
Download Deep Learning Techniques For Music Generation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Deep Learning Techniques For Music Generation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Deep Learning Techniques For Music Generation
DOWNLOAD
Author : Jean-Pierre Briot
language : en
Publisher: Springer
Release Date : 2019-11-08
Deep Learning Techniques For Music Generation written by Jean-Pierre Briot and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-08 with Computers categories.
This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.
Music And Ai
DOWNLOAD
Author : Alexandra Bonnici
language : en
Publisher: Frontiers Media SA
Release Date : 2021-03-16
Music And Ai written by Alexandra Bonnici and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-16 with Science categories.
Mastering Deep Learning
DOWNLOAD
Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Deep Learning written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unleash the Power of Neural Networks for Intelligent Solutions In the landscape of artificial intelligence and machine learning, deep learning stands as a revolutionary force that is shaping the future of technology. "Mastering Deep Learning" is your ultimate guide to comprehending and harnessing the potential of deep neural networks, empowering you to create intelligent solutions that drive innovation. About the Book: As the capabilities of technology expand, deep learning emerges as a transformative approach that unlocks the potential of artificial intelligence. "Mastering Deep Learning" offers a comprehensive exploration of this cutting-edge field—an indispensable toolkit for data scientists, engineers, and enthusiasts. This book caters to both beginners and experienced learners aiming to excel in deep learning concepts, algorithms, and applications. Key Features: Deep Learning Fundamentals: Begin by understanding the core principles of deep learning. Learn about neural networks, activation functions, and backpropagation—the building blocks of the subject. Deep Neural Architectures: Dive into the world of deep neural architectures. Explore techniques for building and designing different types of neural networks, including feedforward, convolutional, and recurrent networks. Training and Optimization: Grasp the art of training deep neural networks. Understand techniques for weight initialization, gradient descent, and optimization algorithms to ensure efficient learning. Natural Language Processing: Explore deep learning applications in natural language processing. Learn how to process and understand text, sentiment analysis, and language generation. Computer Vision: Understand the significance of deep learning in computer vision. Explore techniques for image classification, object detection, and image generation. Reinforcement Learning: Delve into the realm of reinforcement learning. Explore techniques for training agents to interact with environments and make intelligent decisions. Transfer Learning and Pretrained Models: Grasp the power of transfer learning. Learn how to leverage pretrained models and adapt them to new tasks. Real-World Applications: Gain insights into how deep learning is applied across industries. From healthcare to finance, discover the diverse applications of deep neural networks. Why This Book Matters: In an era of rapid technological advancement, mastering deep learning offers a competitive edge. "Mastering Deep Learning" empowers data scientists, engineers, and technology enthusiasts to leverage these cutting-edge concepts, enabling them to create intelligent solutions that drive innovation and redefine possibilities. Unleash the Future of AI: In the landscape of artificial intelligence, deep learning is reshaping technology and innovation. "Mastering Deep Learning" equips you with the knowledge needed to leverage deep neural networks, enabling you to create intelligent solutions that push the boundaries of possibilities. Whether you're a seasoned practitioner or new to the world of deep learning, this book will guide you in building a solid foundation for effective AI-driven solutions. Your journey to mastering deep learning starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Hands On Music Generation With Magenta
DOWNLOAD
Author : Alexandre DuBreuil
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-31
Hands On Music Generation With Magenta written by Alexandre DuBreuil and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Mathematics categories.
Design and use machine learning models for music generation using Magenta and make them interact with existing music creation tools Key FeaturesLearn how machine learning, deep learning, and reinforcement learning are used in music generationGenerate new content by manipulating the source data using Magenta utilities, and train machine learning models with itExplore various Magenta projects such as Magenta Studio, MusicVAE, and NSynthBook Description The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With this book, you’ll follow a hands-on approach to using ML models for music generation, learning how to integrate them into an existing music production workflow. Complete with practical examples and explanations of the theoretical background required to understand the underlying technologies, this book is the perfect starting point to begin exploring music generation. The book will help you learn how to use the models in Magenta for generating percussion sequences, monophonic and polyphonic melodies in MIDI, and instrument sounds in raw audio. Through practical examples and in-depth explanations, you’ll understand ML models such as RNNs, VAEs, and GANs. Using this knowledge, you’ll create and train your own models for advanced music generation use cases, along with preparing new datasets. Finally, you’ll get to grips with integrating Magenta with other technologies, such as digital audio workstations (DAWs), and using Magenta.js to distribute music generation apps in the browser. By the end of this book, you'll be well-versed with Magenta and have developed the skills you need to use ML models for music generation in your own style. What you will learnUse RNN models in Magenta to generate MIDI percussion, and monophonic and polyphonic sequencesUse WaveNet and GAN models to generate instrument notes in the form of raw audioEmploy Variational Autoencoder models like MusicVAE and GrooVAE to sample, interpolate, and humanize existing sequencesPrepare and create your dataset on specific styles and instrumentsTrain your network on your personal datasets and fix problems when training networksApply MIDI to synchronize Magenta with existing music production tools like DAWsWho this book is for This book is for technically inclined artists and musically inclined computer scientists. Readers who want to get hands-on with building generative music applications that use deep learning will also find this book useful. Although prior musical or technical competence is not required, basic knowledge of the Python programming language is assumed.
Advances In Neural Computation Machine Learning And Cognitive Research Viii
DOWNLOAD
Author : Vladimir Redko
language : en
Publisher: Springer Nature
Release Date : 2025-02-28
Advances In Neural Computation Machine Learning And Cognitive Research Viii written by Vladimir Redko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21–25, 2024, in Moscow, Russia.
Law And Artificial Intelligence
DOWNLOAD
Author : Bart Custers
language : en
Publisher: Springer Nature
Release Date : 2022-07-05
Law And Artificial Intelligence written by Bart Custers and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-05 with Law categories.
This book provides an in-depth overview of what is currently happening in the field of Law and Artificial Intelligence (AI). From deep fakes and disinformation to killer robots, surgical robots, and AI lawmaking, the many and varied contributors to this volume discuss how AI could and should be regulated in the areas of public law, including constitutional law, human rights law, criminal law, and tax law, as well as areas of private law, including liability law, competition law, and consumer law. Aimed at an audience without a background in technology, this book covers how AI changes these areas of law as well as legal practice itself. This scholarship should prove of value to academics in several disciplines (e.g., law, ethics, sociology, politics, and public administration) and those who may find themselves confronted with AI in the course of their work, particularly people working within the legal domain (e.g., lawyers, judges, law enforcement officers, public prosecutors, lawmakers, and policy advisors). Bart Custers is Professor of Law and Data Science at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands. Eduard Fosch-Villaronga is Assistant Professor at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands.
Algorithms And Architectures For Parallel Processing
DOWNLOAD
Author : Tianqing Zhu
language : en
Publisher: Springer Nature
Release Date : 2025-02-14
Algorithms And Architectures For Parallel Processing written by Tianqing Zhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Computers categories.
The six-volume set, LNCS 15251-15256, constitutes the refereed proceedings of the 24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024, held in Macau, China, during October 29–31, 2024. The 91 full papers, 35 short papers and 5 workshop papers included in these proceedings were carefully reviewed and selected from 265 submissions. They focus on the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems.
The Language Of Creative Ai
DOWNLOAD
Author : Craig Vear
language : en
Publisher: Springer Nature
Release Date : 2022-11-05
The Language Of Creative Ai written by Craig Vear and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-05 with Computers categories.
Creative AI defines art and media practices that have AI embedded into the process of creation, but also encompass novel AI approaches in the realisation and experience of such work, e.g. robotic art, distributed AI artworks across locations, AI performers, artificial musicians, synthetic images generated by neural networks, AI authors and journalist bots. This book builds on the discourse of AI and creativity and extends the notion of embedded and co-operative creativity with intelligent software. It does so through a human-centred approach in which AI is empowered to make the human experience more creative. It presents ways-of-thinking and doing by the creators themselves so as to add to the ongoing discussion of AI and creativity at a time when the field needs to expand its thinking. This will avoid over-academization of this emerging field, and help counter engrained prejudice and bias. The Language of Creative AI contains technical descriptions, theoretical frameworks, philosophical concepts and practice-based case studies. It is a compendium of thinking around creative AI for technologists, human-computer interaction researchers and artists who are wishing to explore the creative potential of AI.
Power Devices And Internet Of Things For Intelligent System Design
DOWNLOAD
Author : Angsuman Sarkar
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-14
Power Devices And Internet Of Things For Intelligent System Design written by Angsuman Sarkar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Computers categories.
Unlock the potential of cutting-edge advancements in power electronics and IoT with Power Devices and Internet of Things for Intelligent System Design, a vital resource that bridges the gap between industry and academia, inspiring innovative solutions across diverse fields such as agriculture, healthcare, and security. This book explores the latest technological advancements in electrical circuits, particularly in the power electronics sector and IoT-based smart systems. The outcomes are closely aligned with current industrial applications, spanning from DC to higher-frequency spectrums. Research progress in electrical systems not only enhances power electronics and fault tolerance but also extends to internet-based surveillance systems designed to address emerging threats and develop mitigation strategies. Modern IoT-based system design incorporates numerous human-centered benefits, with the integration of blockchain architecture adding an interdisciplinary dimension to the research. The primary goal of this book is to leverage IoT and power engineering technologies to develop practical solutions to contemporary challenges while exploring the diverse applications of the Internet of Things across fields such as agriculture, home security, data protection, construction, healthcare, wildlife monitoring, cryptology, and employment in the hospitality sector. Power Devices and Internet of Things for Intelligent System Design serves as a critical link between industry and academia, a role that underscores the success of this endeavor.
Artificial Neural Networks And Machine Learning Icann 2014
DOWNLOAD
Author : Stefan Wermter
language : en
Publisher: Springer
Release Date : 2014-08-18
Artificial Neural Networks And Machine Learning Icann 2014 written by Stefan Wermter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-18 with Computers categories.
The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014. The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications.