Shares insights into the teen transgender experience, tracing six individual's emotional and physical journey as it was shaped by family dynamics, living situations, and the transition each teen made during the personal journey.

Steve and Blue create a scrapbook of clues on where Magenta went on her vacation.

Magenta is a harrowing journey into war-torn Sarajevo, and into the blackest reaches of the human condition. The novel follows a journalist, Silva, as she and her team make their way deep into a city under siege, in order to recover the body of Thierry, an award-winning filmmaker who has been killed there. But the postmodern odyssey that follows is beyond anything Silva could have expected, as she must make her way through a world in which good and evil lose their meaning, where survival is the only remaining value, and where there is always greater terror lurking around the next corner of the dark and broken labyrinth that a once great city has become. Even if Silva herself survives the city, the abyss she has stared into will have stared back into her - and changed everything.

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.

When it was issued in 1856, it cost a penny. When it was sold at Sotheby’s in 2014, the tiny square of faded red paper known as the one-cent magenta cost nearly $US9.5 million, making it the world’s most valuable object by weight. Printed in what was then British Guiana, one-cent magentas were provisional stamps intended for local newspapers. Most were later thrown out, but one survived. Discovered by a young boy in 1873, the stamp has since been through the hands of nine fanatical owners including an Australian-born engineer, a convicted murderer, and a fabulously wealthy Frenchman who hid it from view (not even King George V of England could get a peek). The One-Cent Magenta weaves a fascinating tale of obsession to own the world’s most fragile treasure, and the extraordinary characters who have loved and lost it.

Calamity seems to follow Magenta everywhere. Her neighbour, Daniel, tries to help but, inevitably, ends up inveigled into her schemes with hilarious results. Magenta has set her sights on Year 11 heart-throb, Adam Jordan, but all her attempts to impress him are thwarted by a series of mishaps. Adam is convinced she is a jinx and tries to avoid her at all costs - while Daniel spends his time trying to demonstrate his undying affection for Magenta - will the best man win?