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Hands: Gift of a Generation is a book born from the multi-sensory exhibition of the same name by the Singapore Memory project (SMP) held between August and October 2013 at the National Library in Singapore. Comprising 45 individual profiles, each accompanied by a striking photograph, this book is a valuable collection of stories that reflects the transformation of Singapore through the years. These anecdotes encapsulate a diverse cross-section of everyday Singaporeans, each connected through their unique experiences and perspectives of Singapore. Reflecting this diversity, the book contains 10 translated profiles in each of Singapore’s mother-tongue languages of Chinese, Malay and Tamil. Sean Lee is a teller of short stories through his photographs. He was a winner of the 2011 ICON de Martell Cordon Bleu and a member of the Reflexions Masterclass (2011-2013). His work has been exhibited all over the world.
'Ferocious, aching with compassion and cruelly brilliant.'– Kathleen Dunn, author of Geek Love Cass Neary is not afraid of living on the edge. A photographer whose shots of New York's punk scene in the seventies briefly earned her fame, caché, and a cultish kind of cool, Cass has spent much of her life since then in the dark, watching and waiting. But thirty years later she is alone, adrift, and falling rapidly into oblivion. So when an old acquaintance asks her to interview a fellow photographer – a notorious recluse who lives on an island off the coast of Maine – she accepts. There, she stumbles across a decades-old crime still claiming new victims. Amid this inhospitable hinterland, Cass comes to realise that her final shot might also be her shot at redemption. First published in 2007, Generation Loss is a mesmerizing literary crime thriller from the author of A Haunting on the Hill.
Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch Key FeaturesUnderstand the different architectures for image generation, including autoencoders and GANsBuild models that can edit an image of your face, turn photos into paintings, and generate photorealistic imagesDiscover how you can build deep neural networks with advanced TensorFlow 2.x featuresBook Description The emerging field of Generative Adversarial Networks (GANs) has made it possible to generate indistinguishable images from existing datasets. With this hands-on book, you’ll not only develop image generation skills but also gain a solid understanding of the underlying principles. Starting with an introduction to the fundamentals of image generation using TensorFlow, this book covers Variational Autoencoders (VAEs) and GANs. You’ll discover how to build models for different applications as you get to grips with performing face swaps using deepfakes, neural style transfer, image-to-image translation, turning simple images into photorealistic images, and much more. You’ll also understand how and why to construct state-of-the-art deep neural networks using advanced techniques such as spectral normalization and self-attention layer before working with advanced models for face generation and editing. You'll also be introduced to photo restoration, text-to-image synthesis, video retargeting, and neural rendering. Throughout the book, you’ll learn to implement models from scratch in TensorFlow 2.x, including PixelCNN, VAE, DCGAN, WGAN, pix2pix, CycleGAN, StyleGAN, GauGAN, and BigGAN. By the end of this book, you'll be well versed in TensorFlow and be able to implement image generative technologies confidently. What you will learnTrain on face datasets and use them to explore latent spaces for editing new facesGet to grips with swapping faces with deepfakesPerform style transfer to convert a photo into a paintingBuild and train pix2pix, CycleGAN, and BicycleGAN for image-to-image translationUse iGAN to understand manifold interpolation and GauGAN to turn simple images into photorealistic imagesBecome well versed in attention generative models such as SAGAN and BigGANGenerate high-resolution photos with Progressive GAN and StyleGANWho this book is for The Hands-On Image Generation with TensorFlow book is for deep learning engineers, practitioners, and researchers who have basic knowledge of convolutional neural networks and want to learn various image generation techniques using TensorFlow 2.x. You’ll also find this book useful if you are an image processing professional or computer vision engineer looking to explore state-of-the-art architectures to improve and enhance images and videos. Knowledge of Python and TensorFlow will help you to get the best out of this book.
As seen in Time, USA TODAY, The Atlantic, The Wall Street Journal, and on CBS This Morning, BBC, PBS, CNN, and NPR, iGen is crucial reading to understand how the children, teens, and young adults born in the mid-1990s and later are vastly different from their Millennial predecessors, and from any other generation. With generational divides wider than ever, parents, educators, and employers have an urgent need to understand today’s rising generation of teens and young adults. Born in the mid-1990s up to the mid-2000s, iGen is the first generation to spend their entire adolescence in the age of the smartphone. With social media and texting replacing other activities, iGen spends less time with their friends in person—perhaps contributing to their unprecedented levels of anxiety, depression, and loneliness. But technology is not the only thing that makes iGen distinct from every generation before them; they are also different in how they spend their time, how they behave, and in their attitudes toward religion, sexuality, and politics. They socialize in completely new ways, reject once sacred social taboos, and want different things from their lives and careers. More than previous generations, they are obsessed with safety, focused on tolerance, and have no patience for inequality. With the first members of iGen just graduating from college, we all need to understand them: friends and family need to look out for them; businesses must figure out how to recruit them and sell to them; colleges and universities must know how to educate and guide them. And members of iGen also need to understand themselves as they communicate with their elders and explain their views to their older peers. Because where iGen goes, so goes our nation—and the world.
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.
The Gift Is in the Making retells previously published Anishinaabeg stories, bringing to life Anishinaabeg values and teachings for a new generation. Readers are immersed in a world where all genders are respected, the tiniest being has influence in the world, and unconditional love binds families and communities to each other and to their homeland. Sprinkled with gentle humour and the Anishinaabe language, this collection of stories speaks to children and adults alike, and reminds us of the timelessness of stories that touch the heart. Also available as an audiobook narrated by Tiffany Ayalik. Find it through your favourite audio retailer!
Applying such techniques as doll-making, patchwork, papier mache, and decoupage, a handmade craft guide includes thirty-five creative projects, from an embroidered christening gown to a collage memory album, and demonstrates various personalizing suggestions.
An insider’s guide to the coming philanthropic revolution Meet the next generation of big donors—the Gen X and Millennial philanthropists who will be the most significant donors ever and will shape our world in profound ways. Hear them describe their ambitious plans to revolutionize giving so it achieves greater impact. And learn how to help them succeed in a world that needs smart, effective donors now more than ever. As “next gen donors” step into their philanthropic roles, they have not only unprecedented financial resources, but also big ideas for how to wield their financial power. They want to disrupt the traditional world of charitable giving, and they want to do so now, not after they retire to a life of philanthropic leisure. Generation Impact pulls back the curtain on these rising leaders and their “Impact Revolution,” offering both extensive firsthand accounts and expert analysis of the hands-on, boundary-pushing, unconventional strategies next gen donors are beginning to pursue. This fascinating book also shows another side of the donors in Generation Impact: they want to respect the past even as they transform the future. They are determined to honor the philanthropic legacies and values they’ve inherited by making big giving more effective than ever before. If they succeed, they can make historic progress on causes from education to the environment, from human rights to health care. Based on years of research and close engagement with next gen donors, Generation Impact offers a unique profile of the new faces of philanthropy. Find out, directly from them: How they want to revolutionize giving to expand its positive impact on our lives and our communities. Which causes interest them, how they want to engage with those causes … and, perhaps more important, how they do not want to engage. Which new tools and strategies for change excite them most. What they are learning from previous generations, and what they want to bring to their work alongside those generations. How we can all ensure their historic potential is channeled in ways that make our world better. The Impact Revolution will be messy, but it could also result in solutions for some of our most persistent problems. Generation Impact offers targeted, practical advice to parents, families, and their advisors, as well as nonprofit professionals—those who work closest with these next gen donors—on how to engage, nurture, and encourage them as they reshape major giving and make their mark on history. Help them channel their enthusiasm—and their wealth—to make the most positive difference in a world with such great need.
Millennials have disrupted almost every major industry. Whether you’re a parent trying to raise them, a pastor trying to reach them, or an employer trying to retain them, they’re disruptive. As the largest living generation, millennials are one of the most studied but misunderstood groups of our day. And the chasm between the generations is only getting wider. Speaker and founder of the Initiative Network Grant Skeldon pulls back the confusing statistics about millennials to reveal the root issue: it’s not a millennial problem, it’s a discipleship problem. Millennials are known for their struggle to hold jobs, reluctance to live on their own, and alarming migration away from the church. And now our culture is feeling the results of a mentor-less, fatherless generation. But how do you start discipling young people when you struggle to connect with them? Written by a millennial, The Passion Generation will guide you beyond the stats of what millennials are doing to the why they’re doing it and how we can all move toward healthy community. With wit, compassion, and startling insights, this book shares stories and studies drawn from Skeldon’s years of working to bridge generational gaps. In his signature conversational style, Skeldon offers researched strategies that will spark healthy connections, and practical methods that will help you disciple the millennials you love. This book is your guide to understanding the millennials in your life who are seemingly reckless but far from hopeless, for the future of the church that depends on them.