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"No lies" The Hurricane Notebook, found on a Wilmington beach after a storm, contains the thoughts, artistic experiments, vignettes, and recorded dialogues of an unknown author calling herself "Elizabeth M." Its entries record the inner life of a soul in crisis, perpetually returning to the moment she learned of her sister's suicide and making an unrelenting attempt to understand herself and the human condition. Whether engaged in introspective soul-searching, or reconstructing her discussions with friends, mentors, and acquaintances, she challenges herself to accept "No lies" that would mask or hide her own responsibility for evil in the world. The notebook ends abruptly; having traversed subjects as diverse as God, childhood, chess, philosophy, ballet, self-hood, conscience, guilt, and friendship, Elizabeth's questions are left uncertain and hanging in the air, just like her hope that she might find "one person on earth who understands me," and unanswered, like her plea "Having understood me, would you grieve on my behalf, my friend?"
Quiet the voices of "not good enough" and step courageously into guilt-free homeschooling Many homeschool parents have a long-term relationship with self-doubt. "Did I make the right decision?" "Could someone else do this better?" "Am I robbing my kids of something by not sending them to ‘regular school’?" What if there’s a better way? Not a 3-step technique or a shiny, new curriculum, but a change in perspective that transforms the way you plan, teach, and homeschool? Homeschool Bravely teaches you to see homeschooling as a calling, helps you overthrow the tyranny of impossible expectations, and guides you through the common bumps in the road, including how to: juggle school and parenting with toddlers at home teach a struggling learner plan with the end in mind accept your own limitations without feeling guilty stay the course even in the face of criticism Reclaim your hope, renew your purpose, and transform your homeschool. Because the truth is: God will use every part of your homeschool, even your fears, faults, and failures, to weave good plans for your kids.
"AN AUTISTIC BOY WHO BEAT THE ODDS." Looking For Normal is the memoir of author, musician and filmmaker, Steve Slavin. His obsession with music, at an early age, led to a long career in the creative arts, albeit one plagued by clinical depression and the symptoms of a condition he was unaware of until 2008. In recounting the 48 years that led to his autism diagnosis, this darkly humorous memoir will inform and inspire anyone with an interest in mental health and autism. But more than this, it is the story of an "emotionally disturbed child, without a future" who, against the backdrop of low expectation, became an ambitious, independent adult, with a wife, daughters, and a career stifled by the long shadow of his childhood dysfunction. "A wonderful insight into an extraordinary life." - Peter Holmes Ph.D. "Insightful, inspiring, informative and entertaining. Looking For Normal is not just about overcoming the adversities that life throws at you on a regular basis. It is also about someone's journey of accepting, embracing and celebrating everything that comes with having autism." - Dr RF (Senior practitioner Educational Psychologist).
Quentin Jacobson has spent a lifetime loving Margo Roth Spiegelman from afar. So when she cracks open a window and climbs into his life - dressed like a ninja and summoning him for an ingenious campaign of revenge - he follows. After their all-nighter ends, Q arrives at school to discover that Margo has disappeared.
Galápagos giant tortoises are fascinating—and endangered. They live only on the Galápagos Islands, a chain of volcanic islands in the Pacific Ocean off the coast of Ecuador. These tortoises face threats from the humans who live on—and visit—the islands, as well as from Earth's warming climate. Join author Kate Messner on an a journey to the Galápagos Islands to see these incredible creatures up close and discover how cutting-edge technology is helping scientists to study and protect them.
Bring the classroom into your sewing space as you learn from expert quilters how to get the scrappy look you love. Following the wildly popular Sisterhood of Scraps, author and designer Lissa Alexander has gathered more super-talented designer friends to share a dozen scraptastic quilt designs. Not feeling confident with color selection? Unsure of what fabrics to add to the mix? Want to know what makes a scrap quilt sing? Tips and tricks are inside for all this and so much more to help you make the most of your fabric stash! Lissa and her handpicked crew of "instructors" show you how to get an A+ (for awesome) on your next scrap quilts. Scrap School is in session! Lisa Bongean · Gudrun Erla· Sarah Huechteman · Susan Ache· Kim Diehl· Mary Etherington and Connie Tesene· Sherri McConnell· Amy Smart · Amanda Jean Nyberg
Actress Caidence Harris is living her dreams after landing a leading role among the star-studded, veteran cast of 9th Precinct, a hot new police drama shot on location in glitzy LA. Her sometimes-costar Robyn Ward is magnetic, glamorous, and devastatingly beautiful, the quintessential A-List celebrity on the fast-track to super-stardom. When the two meet on the set of 9th Precinct, Caid is instantly infatuated but settles for friendship, positive that Robyn is both unavailable and uninterested. Soon Caid sees that all is not as it appears, but can she take a chance and risk her heart when the outcome is so uncertain?
Within the sanctuary of a loving family, baby Eli is born and, as he grows, "learns to cherish the people and places around him, eventualy passing on what he has discovered to his new baby sister, Sylvie: 'All the places to love are here . . . no matter where you may live.' This loving book will be something to treasure."'BL."The quiet narrative is so intensely felt it commands attention. . . . a lyrical celebration."'K.
Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning