Children's Creative Music-Making with Reflexive Interactive Technology discusses pioneering experiments conducted with young children using a new generation of music software for improvising and composing. Using artificial intelligence techniques, this software captures the children’s musical style and interactively reflects it in its responses. The book describes the potential of these applications to enhance children’s agency and musical identity by reflecting players’ musical inputs, storing and creating variations on them. Set in the broader context of current music education research, it addresses the benefits and challenges of incorporating music technologies in primary and pre-school education. It is comprised of six main chapters, which cover the creation of children's own music and their musical selves, critical thinking skills and learner agency, musical language development, and emotional intent during creative music-making. The authors provide a range of straight-forward techniques and strategies, which challenge conceptions of ‘difficult-to-use music technologies’ in formal music education. These are supported by an informative collection of practitioner vignettes written by teachers who have used the software in their classrooms. Not only are the teachers’ voices heard here, but also those of children as they discover some of the creative possibilities of music making. The book also provides free access to a companion website with teacher forums and a large bank of activities to explore. A toolkit serves as a database of the teaching activities in which MIROR applications have been used and provides a set of useful ideas regarding its future use in a variety of settings. This book demonstrates that music applications based on artificial intelligence techniques can make an important contribution to music education within primary and pre-school education. It will be of key interest to academics, researchers and postgraduate students in the fields of music education, music technology, early years and primary education, teaching and learning, and teacher educators. It will also serve as an important point of reference for Early Years and Primary practitioners.
In May 1968, Gilles Deleuze was an established philosopher teaching at the innovative Vincennes University, just outside of Paris. F?lix Guattari was a political militant and director of an unusual psychiatric clinic at La Borde. Their meeting was unlikely, and the two were introduced in an arranged encounter of epic consequence. From that moment on, Deleuze and Guattari engaged in a surprising, productive partnership, collaborating on several groundbreaking works, including "Anti-Oedipus," "What Is Philosophy?" and "A Thousand Plateaus." Fran?ois Dosse, a prominent French intellectual, examines the prolific, if improbable, relationship between two men of distinct and differing sensibilities. Drawing on unpublished archives and hundreds of personal interviews, Dosse elucidates a collaboration that lasted more than two decades, underscoring the role that family and history--particularly the turbulence of May 1968--played in their monumental work. He also takes the measure of Deleuze and Guattari's posthumous fortunes and weighs the impact of their thought within intellectual, academic, and professional circles.
Build cutting edge machine and deep learning systems for the lab, production, and mobile devices Key FeaturesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and contrastive learningLearn cutting-edge machine and deep learning techniquesBook Description Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments. This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML. What you will learnLearn how to use the popular GNNs with TensorFlow to carry out graph mining tasksDiscover the world of transformers, from pretraining to fine-tuning to evaluating themApply self-supervised learning to natural language processing, computer vision, and audio signal processingCombine probabilistic and deep learning models using TensorFlow ProbabilityTrain your models on the cloud and put TF to work in real environmentsBuild machine learning and deep learning systems with TensorFlow 2.x and the Keras APIWho this book is for This hands-on machine learning book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and practice required to use Keras, TensorFlow, and AutoML to build machine learning systems. Some machine learning knowledge would be useful. We don't assume TF knowledge.
Children's Creative Music-Making with Reflexive Interactive Technology discusses pioneering experiments conducted with young children using a new generation of music software for improvising and composing. Using artificial intelligence techniques, this software captures the children’s musical style and interactively reflects it in its responses. The book describes the potential of these applications to enhance children’s agency and musical identity by reflecting players’ musical inputs, storing and creating variations on them. Set in the broader context of current music education research, it addresses the benefits and challenges of incorporating music technologies in primary and pre-school education. It is comprised of six main chapters, which cover the creation of children's own music and their musical selves, critical thinking skills and learner agency, musical language development, and emotional intent during creative music-making. The authors provide a range of straight-forward techniques and strategies, which challenge conceptions of ‘difficult-to-use music technologies’ in formal music education. These are supported by an informative collection of practitioner vignettes written by teachers who have used the software in their classrooms. Not only are the teachers’ voices heard here, but also those of children as they discover some of the creative possibilities of music making. The book also provides free access to a companion website with teacher forums and a large bank of activities to explore. A toolkit serves as a database of the teaching activities in which MIROR applications have been used and provides a set of useful ideas regarding its future use in a variety of settings. This book demonstrates that music applications based on artificial intelligence techniques can make an important contribution to music education within primary and pre-school education. It will be of key interest to academics, researchers and postgraduate students in the fields of music education, music technology, early years and primary education, teaching and learning, and teacher educators. It will also serve as an important point of reference for Early Years and Primary practitioners.
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