David Foster Books

Focusing on hands-on techniques, this book guides machine learning engineers and data scientists in building generative deep learning models using TensorFlow and Keras. It covers various advanced architectures, including VAEs, GANs, and transformers, while also discussing the future of generative AI. Readers will learn how to harness this innovative technology for competitive advantage in their projects and organizations.

The bestselling Blisters and Bliss has been the trekkers guide to the West Coast Trail since 1989. The 75-kilometre trail on Vancouver Island is rated as one of the worlds greatest hikes. In this revised ninth edition, David Foster and Wayne Aitken once again provide a practical and easy-to-use resource for the thousands of hikers who visit the West Coast Trail every year. Combining current and accurate trail information with hundreds of safety and planning tips, this is the ideal guide for novices and experienced trekkers alike.

(Piano Solo Composer Collection). Sixteen-time GRAMMY Award-winning composer and legendary producer David Foster has released this personal and heartfelt collection of piano solos. A departure from his huge, chart-topping hits for megastars, this collection brings Foster back to his roots, seated at the grand piano and delivering emotional and meaningful piano melodies. Our folio features all 11 tracks presented for piano solo including the first single "Love" as well as: Dreams * Elegant * Eternity * Everlasting * Nobility * Orbiting * Romance * Serenity * Victorious * Wonderment.

Each year, thousands of trekkers tackle the 75-kilometre West Coast Trail between Bamfield and Port Renfrew on Vancouver Island. And for over 20 years, this book has been the definitive guide to the world-famous trail. This sixth edition is completely up to date and expanded to include the latest on trail information, reservations, travel connections and trekker tips. The illustrations are a delight, and the book includes special sections for northbound and southbound hikers.

Generative Modelle sind ein faszinierendes Thema in der Künstlichen Intelligenz. Mit generativem Deep Learning können Maschinen kreative Fähigkeiten wie Malen, Schreiben und Musikkomposition erlernen. Dieses praxisnahe Buch ermöglicht es Data Scientists, beeindruckende generative Deep-Learning-Modelle wie Generative Adversarial Networks (GANs), Variational Autoencoder (VAEs) und Encoder-Decoder-Modelle nachzubilden. Der Autor vermittelt zunächst die Grundlagen des Deep Learning mit Keras und erklärt die Funktionsweise jeder Methode, bevor er sich modernen Algorithmen zuwendet. Zahlreiche praktische Beispiele und Tipps helfen dabei, die Effizienz und Kreativität der Modelle zu steigern. Sie werden entdecken, wie Variational Autoencoder Gesichtsausdrücke auf Fotos verändern, praktische GAN-Beispiele erstellen und CycleGAN zur Stilübertragung sowie MuseGAN zur Musikgenerierung nutzen können. Zudem lernen Sie, rekurrente generative Modelle zur Texterstellung einzusetzen und diese mit dem Attention-Mechanismus zu verbessern. Außerdem erfahren Sie, wie generatives Deep Learning Agenten im Reinforcement Learning unterstützen kann, und erhalten Einblicke in die Architektur von Transformern (BERT, GPT-2) sowie Bilderzeugungsmodellen wie ProGAN und StyleGAN. Dieses Buch bietet eine leicht zugängliche Einführung in das Deep-Learning-Toolkit für generatives Modellieren und richtet sich an kreative Praktiker, die Deep Learning für eigene