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  • Music Navigation with Symbols and Layers

    Toward Content Browsing with IEEE 1599 XML Encoding

    Music is much more than listening to audio encoded in some unreadable binary format. It is, instead, an adventure similar to reading a book and entering its world, complete with a story, plot, sound, images, texts, and plenty of related data with, for instance, historical, scientific, literary, and musicological contents. Navigation of this world, such as that of an opera, a jazz suite and jam ... Leer más

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  • Introduction to Machine Learning with Python

    A Guide for Data Scientists

    Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your ... Leer más

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  • Artificial Intelligence with Python

    A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

    de Prateek Joshi ...
    Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available. Build real-world Artificial Intelligence applications with Python to ... Leer más

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  • Deep Learning with TensorFlow 2 and Keras

    Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API

    Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep ... Leer más

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  • Illustrated Fluteplaying

    Endorsed by leading players including Sir James Galway, Andrew Nicholson, Atarah Ben-Tovim and Gareth McLearnon, Illustrated Fluteplaying is the unique book that shows the science and art of fluteplaying in a way that no other book has equalled. Covering virtually every aspect of owning and playing the flute, from the basics of posture and making your first sound to the intricacies of tuning and ... Leer más

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  • Generative AI with Python and TensorFlow 2

    Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

    This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook ... Leer más

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  • Deep Learning for Computer Vision

    Expert techniques to train advanced neural networks using TensorFlow and Keras

    Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasksKey Features\[\*\] Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision\[\*\] Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and ... Leer más

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  • Fundamentals of Deep Learning and Computer Vision

    A Complete Guide to become an Expert in Deep Learning and Computer Vision

    This book starts with setting up a Python virtual environment with the deep learning framework TensorFlow and then introduces the fundamental concepts of TensorFlow. Before moving on to Computer Vision, you will learn about neural networks and related aspects such as loss functions, gradient descent optimization, activation functions and how backpropagation works for training multi-layer ... Leer más

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  • Python Machine Learning Cookbook

    100 recipes that teach you how to perform various machine learning tasks in the real world

    100 recipes that teach you how to perform various machine learning tasks in the real worldKey Features\[\*\]Understand which algorithms to use in a given context with the help of this exciting recipe-based guide\[\*\]Learn about perceptrons and see how they are used to build neural networks\[\*\]Stuck while making sense of images, text, speech, and real estate? This guide will come to your rescue, ... Leer más

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  • Implementation of analytics using R

    de Ankita Sinha ...
    This book gives an overview of using R for data analytics. It begins with the basic functionalities of R and then deals with various data analytics techniques and their implementation using R.I am giving out my second book "Implementation of analytics using R" for free if you buy my first book " A Handbook of analytics" available on kobo. (https://www.kobo.com/ph/en/ebook/a-handbook-of-analytics-1 ... Leer más

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  • Hands-On Natural Language Processing with Python

    A practical guide to applying deep learning architectures to your NLP applications

    Foster your NLP applications with the help of deep learning, NLTK, and TensorFlowKey FeaturesWeave neural networks into linguistic applications across various platformsPerform NLP tasks and train its models using NLTK and TensorFlowBoost your NLP models with strong deep learning architectures such as CNNs and RNNsBook DescriptionNatural language processing (NLP) has found its application in ... Leer más

    $34.99 USD o gratis con Kobo Plus

  • The Oxford Handbook of Algorithmic Music

    Edición de Alex McLean, Roger T. Dean ...
    Series series Oxford Handbooks
    With the ongoing development of algorithmic composition programs and communities of practice expanding, algorithmic music faces a turning point. Joining dozens of emerging and established scholars alongside leading practitioners in the field, chapters in this Handbook both describe the state of algorithmic composition and also set the agenda for critical research on and analysis of algorithmic ... Leer más

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