Go Deep Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Go Deep book. This book definitely worth reading, it is an incredibly well-written.
It was all supposed to be so simple. Navaya Howard is an erotic writer in a rut. Her readers are fed up of her stale plots and Navaya can't blame them. She's been celibate for over a year and a half since finding her now ex-boyfriend's side chick's positive pregnancy test on her bathroom counter. How can she write steamy romances if she can barely remember which body parts go into the other? Navaya enlists the help of her best friend, Xander, to revive the inspiration that used to have her sitting comfortably at the top of her game. What happens when the sex hits deeper than either of them expected and the tender emotions can no longer be denied? Navaya and Xander's arrangement has gone far deeper than intended. Will their friendship and their hearts survive the fall? --Back cover.
So you're involved in youth ministry. How do you lead? How do you know yourself and keep yourself connected? What personal practices do you embrace? How do you optimize your time with youth so that they (and you) may come to know God more fully? What resources might you use for practical help? Where would you find these ideas? Go Deep! Open Doris Kizinna's book and read about how to prepare and ground yourself, as youth leader, in your personal spiritual practice. Then, using practices drawn from many traditions and designed to open hearts and minds to an all-encompassing wonder of the Holy One, engage and mentor youth on the path of Christian spirituality. Go Deep offers inspiration and practical tools to youth leaders who want to develop and deepen their youth ministry, both for themselves and for the youth they minister to. The book is divided into two sections: Part 1 addresses the leader and Part 2 describes the various spiritual practices. Part 2 also includes prayer practices: to engage the senses of written and spoken word of creativity of movement and body of compassion of community of worship and song
In the winter of 1993, Don Neworth, international dead-beat, and Ruth Cohen, infamous double agent, are having a stand-off on the snow and ice-covered stairs that lead up/down the famous HolmenKollen Ski Jump in Oslo, Normandy. They are not there to sight-see. She wears gloves. Don doesn’t. To Don, that’s not fair. Ruth is an undercover Hamas operator passing herself off as Mossad, the Israeli FBI. Don is a newshound who wants the big story so he can return to the USA in an explosion of literary fame instead of being a guy who dodged the Vietnam draft, drinks too much, and is always, always on the make. They met in Frankfort where Don worked for Stars & Stripes, Europe. He was covering an anti-Semitic incident involving him and she was posing as a member of the Mossad. Ruth’s extraordinarily beauty mesmerized Don into forgetting his quest for the big story. Maybe, he should have guessed something was wrong after the third time she drugged him and set him up ala Lee Harvey Oswald, “Deranged American Newsman Blows Up Oslo Accords.” He’d take the blame for the explosion that was designed to wipe out the Arab and Jewish peace negotiators. Don, in spite of his avowed cowardice, reluctantly tries to save their lives by driving them in a beat-up taxi with a blown-out windshield, through a snowstorm, dodging Uzi bullets, playing bumper tag at high speeds, and hiding in the famous Vigeland Park. All of which leads to the two antagonists’ rendezvous on the icy ski jump stairs. Really, it would only be fair it he had gloves too. Maybe he can take hers after she’s dead.
Deep Learning and the Game of Go by Kevin Ferguson,Max Pumperla Pdf
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
‘One of the boldest thriller writers working today’ TESS GERRITSEN ‘Her characters, plot, and pacing are unrivalled’ MICHAEL CONNELLY __________________________________ A hallucinatory noir short story from the No.1 bestselling author of the Will Trent novels The arrangement is simple. Charlie picks up a suit from the dry cleaner’s. In the suit pocket is the name of a very important man. The next day, that man walks into the dealership, drives out in a new car, and Charlie gets a fat envelope full of cash. Everyone’s happy. No one gets hurt. So long as Charlie doesn’t cross his business partner. But with one twist of a knife, the unthinkable happens. And suddenly Charlie is in deeper trouble than he could have possibly imagined... 'Go Deep' is also available as part of a bundle with 'Remmy Rothstein Toes the Line' and 'Necessary Women'
This groundbreaking bestseller describes a simple and effective way to let go of challenges from world-renowned author, psychiatrist, clinician, spiritual teacher, and researcher of consciousness, David R. Hawkins, M.D., Ph.D. “Letting Go” is a guide to helping to remove the obstacles we all have that keep us from living a more conscious life, it is truly a life-changing book. Many of us have trouble Letting Go in our lives even though it can have profound impact on our life.” —Wayne Dyer During the many decades of Dr. David Hawkins’, clinical psychiatric practice, the primary aim was to seek the most effective ways to relieve human suffering in all of its many forms. In Letting Go, he shares from his clinical and personal experience that surrender is the surest route to total fulfillment. This motivational book provides a mechanism for letting go of blocks to happiness, love, joy, success, health, and ultimately Enlightenment. The mechanism of surrender that Dr. Hawkins describes can be done in the midst of everyday life. The book is equally useful for all dimensions of human life: physical health, creativity, financial success, emotional healing, vocational fulfillment, relationships, sexuality and spiritual growth. It is an invaluable resource for all professionals who work in the areas of mental health, psychology, medicine, self-help, addiction recovery and spiritual development. "Letting go is one of the most efficacious tools by which to reach spiritual goals." — David Hawkins, M.D., Ph.D. This profound self-development book offers a roadmap to release emotional burdens, unlock inner peace, and embrace a life of fulfillment. It is a classic that will help you break free from limitations and unlock your true potential. Learn how to navigate challenges with grace and emerge as a stronger, more resilient version of yourself. By incorporating the principles of surrender, "Letting Go" provides practical tools for personal growth and transformation. This consciousness-expanding book will help you: · Release past traumas, negative beliefs, and self-imposed limitations. · Experience a newfound sense of freedom, joy, and authenticity. · Recover from addiction · Enhance your personal relationships · Achieve success in your career Join millions who have experienced profound transformations through the principles outlined in "Letting Go." "Letting Go" is a must-read for anyone on a quest for personal growth, spirituality, and self-improvement. Whether you're new to the realm of self-help books or a seasoned seeker, Dr. David Hawkins' insights will inspire you to embrace a life of conscious living, emotional well-being, positive thinking, and unlimited possibilities. Experience the transformative power of letting go and unlock a life of healing, success, and spiritual growth.
Deep Learning for Coders with fastai and PyTorch by Jeremy Howard,Sylvain Gugger Pdf
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Why Go to the Deep End of the Ocean? by Andrew Charles Swarm Pdf
Why Go To The Deep End of The Ocean? is about two guys, Stone Rainy and Jim Toppy who have been best friends since high school. They love to go fishing in the Pacific Ocean, drink beer and talk about their girlfriends. The story unfolds with Stone and Jim out-on the Pacific Ocean in Stone's deep sea fishing boat. Jim mentions that he thought Gwen was falling -in love with him and that he was going to propose to her that evening. Stone caked Jim if he loved her or was she pregnant. Jim gets furious, hits Stone almost ruining their longtime friendship. Things simmer down and the two guys apologized to each other. When they returned to shore and to Stone's house, things took another turn. After Jim left to go to his own house, Gwen shows up at Stone's house starting to flirt with him. They started kissing and making out when Stone heard someone out in the living room. Gwen went to the bathroom and he went to see who was there. Sure enough, it was Jim who had come looking for Gwen to take her to dinner so he could propose to her. Later that evening, Stone and Sarah went out on his boat to make love. They made love in the boat's cabin, and then went up on deck to make love under the moon and stars. Fate had other plans, for while walking towards the railing Sarah slipped on a puddle of water falling underneath the railing and into the dark water. Stone jumps in after her; but couldn't save her. Gwen comes over to Stone's to console him when she finds out about Sarah's untimely death. Jim finds out and does something drastic. Gwen and Stone start seeing each other after she and Jim break up; but fate steps in again. The story ends with investigators going to Jim's house finding his note.
Deep Learning by Ian Goodfellow,Yoshua Bengio,Aaron Courville Pdf
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
The Deep by Rivers Solomon,Daveed Diggs,William Hutson,Jonathan Snipes Pdf
Octavia E. Butler meets Marvel’s Black Panther in The Deep, a story rich with Afrofuturism, folklore, and the power of memory, inspired by the Hugo Award–nominated song “The Deep” from Daveed Diggs’s rap group Clipping. Yetu holds the memories for her people—water-dwelling descendants of pregnant African slave women thrown overboard by slave owners—who live idyllic lives in the deep. Their past, too traumatic to be remembered regularly is forgotten by everyone, save one—the historian. This demanding role has been bestowed on Yetu. Yetu remembers for everyone, and the memories, painful and wonderful, traumatic and terrible and miraculous, are destroying her. And so, she flees to the surface escaping the memories, the expectations, and the responsibilities—and discovers a world her people left behind long ago. Yetu will learn more than she ever expected about her own past—and about the future of her people. If they are all to survive, they’ll need to reclaim the memories, reclaim their identity—and own who they really are. The Deep is “a tour de force reorientation of the storytelling gaze…a superb, multilayered work,” (Publishers Weekly, starred review) and a vividly original and uniquely affecting story inspired by a song produced by the rap group Clipping.
Hands-On Deep Learning with Go by Gareth Seneque,Darrell Chua Pdf
Apply modern deep learning techniques to build and train deep neural networks using Gorgonia Key FeaturesGain a practical understanding of deep learning using GolangBuild complex neural network models using Go libraries and GorgoniaTake your deep learning model from design to deployment with this handy guideBook Description Go is an open source programming language designed by Google for handling large-scale projects efficiently. The Go ecosystem comprises some really powerful deep learning tools such as DQN and CUDA. With this book, you'll be able to use these tools to train and deploy scalable deep learning models from scratch. This deep learning book begins by introducing you to a variety of tools and libraries available in Go. It then takes you through building neural networks, including activation functions and the learning algorithms that make neural networks tick. In addition to this, you'll learn how to build advanced architectures such as autoencoders, restricted Boltzmann machines (RBMs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. You'll also understand how you can scale model deployments on the AWS cloud infrastructure for training and inference. By the end of this book, you'll have mastered the art of building, training, and deploying deep learning models in Go to solve real-world problems. What you will learnExplore the Go ecosystem of libraries and communities for deep learningGet to grips with Neural Networks, their history, and how they workDesign and implement Deep Neural Networks in GoGet a strong foundation of concepts such as Backpropagation and MomentumBuild Variational Autoencoders and Restricted Boltzmann Machines using GoBuild models with CUDA and benchmark CPU and GPU modelsWho this book is for This book is for data scientists, machine learning engineers, and AI developers who want to build state-of-the-art deep learning models using Go. Familiarity with basic machine learning concepts and Go programming is required to get the best out of this book.
AN AMAZON BEST BOOK OF 2O16 PICK IN BUSINESS & LEADERSHIP WALL STREET JOURNAL BUSINESS BESTSELLER A BUSINESS BOOK OF THE WEEK AT 800-CEO-READ Master one of our economy’s most rare skills and achieve groundbreaking results with this “exciting” book (Daniel H. Pink) from an “exceptional” author (New York Times Book Review). Deep work is the ability to focus without distraction on a cognitively demanding task. It's a skill that allows you to quickly master complicated information and produce better results in less time. Deep Work will make you better at what you do and provide the sense of true fulfillment that comes from craftsmanship. In short, deep work is like a super power in our increasingly competitive twenty-first century economy. And yet, most people have lost the ability to go deep-spending their days instead in a frantic blur of e-mail and social media, not even realizing there's a better way. In Deep Work, author and professor Cal Newport flips the narrative on impact in a connected age. Instead of arguing distraction is bad, he instead celebrates the power of its opposite. Dividing this book into two parts, he first makes the case that in almost any profession, cultivating a deep work ethic will produce massive benefits. He then presents a rigorous training regimen, presented as a series of four "rules," for transforming your mind and habits to support this skill. 1. Work Deeply 2. Embrace Boredom 3. Quit Social Media 4. Drain the Shallows A mix of cultural criticism and actionable advice, Deep Work takes the reader on a journey through memorable stories-from Carl Jung building a stone tower in the woods to focus his mind, to a social media pioneer buying a round-trip business class ticket to Tokyo to write a book free from distraction in the air-and no-nonsense advice, such as the claim that most serious professionals should quit social media and that you should practice being bored. Deep Work is an indispensable guide to anyone seeking focused success in a distracted world.
J. Kent Edwards recalls a story that late pastor J. Vernon McGee told about seeing children in South Africa playing a game of marbles in the dust with real diamonds. The precious stones were being handled with no regard for their true worth. Edwards fears the same thing happens today when preachers offer Scriptural truth to listeners without being completely overwhelmed by its greatness themselves in the process. Deep Preaching is his call to "rethink" preaching. Edwards helps preachers learn to preach the word in ways that will powerfully change the lives of hearers. He contends that sermons "need not settle comfortably on the lives of the listeners like dust on a coffee table." He encourages preachers to join him in casting off the lines that moor their ministries to the status-quo and make every effort to steer their preaching out of the "comfortable shallows." He urges them to preach deep sermons rather than superficial ones, moving "beyond the yawn-inspiring to the awe-inspiring, from the trite to the transforming."
