Author: Brian Lumley Publisher: Crossroad Press ISBN: Category : Fiction Languages : en Pages : 397
Book Description
Brian Lumley, author of the bestselling Necroscope and Vampire World series of novels, has for many years been a devotee' of H. P. Lovecraft’s Cthulhu Mythos, by such nightmare fables as Dagon, The Call of Cthulhu The Shadow Over Innsmouth, Lovecraft’s legendary Deep Ones have taken their place in terror fiction alongside the vampire and the werewolf. Now they are given the Lumley treatment in—RETURN OF THE DEEP ONES! But the Mythos was not restricted to tales of oceanic horror; nightmares out of space and time—and inner earth—abound in Lovecraft’s fiction. Thus, with the addition of Beneath the Moors, Inception, and the novella, Lord of the Worms, Brian Lumley offers his latest homage to Lovecraft the Master. Now, from forbidden depths of dream and ocean, the RETURN OF THE DEEP ONES! In the field of no-holds-barred terror fiction, there’s Brian Lumley—and then there’s the rest …
Author: Robert Plamondon Publisher: Norton Creek Press ISBN: 0972177078 Category : Games & Activities Languages : en Pages : 341
Book Description
Through Dungeons Deep delves into the art of role-playing, showing players and Game Masters how to have more fun and excitement with fantasy role-playing games. First published more than 25 years ago, this book was an instant classic. Long out of print, the original edition sells for several times its cover price. This Norton Creek Press reprint makes the book available (and affordable) again. Robert Plamondon wrote Through Dungeons Deep after realizing that the most important part of role-playing games-role-playing-is barely mentioned in gaming systems. When it is, it is often confused with rules. But role-playing really boils down to make-believe, and the real fun in role-playing games comes from unlocking your imagination. But it's also important to carry a length of rope and wear shoes you can run in.
Author: Rivers Solomon Publisher: Simon and Schuster ISBN: 1534439889 Category : Fiction Languages : en Pages : 192
Book Description
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.
Author: Kevin T. Pickering Publisher: John Wiley & Sons ISBN: 1118865480 Category : Science Languages : en Pages : 672
Book Description
Deep-water (below wave base) processes, although generallyhidden from view, shape the sedimentary record of more than 65% ofthe Earth’s surface, including large parts of ancientmountain belts. This book aims to inform advanced-levelundergraduate and postgraduate students, and professional Earthscientists with interests in physical oceanography and hydrocarbonexploration and production, about many of the important physicalaspects of deep-water (mainly deep-marine) systems. The authorsconsider transport and deposition in the deep sea, trace-fossilassemblages, and facies stacking patterns as an archive of theunderlying controls on deposit architecture (e.g., seismicity,climate change, autocyclicity). Topics include modern and ancientdeep-water sedimentary environments, tectonic settings, and howbasinal and extra-basinal processes generate the typicalcharacteristics of basin slopes, submarine canyons, contouritemounds and drifts, submarine fans, basin floors and abyssalplains.
Author: Tobias E. Carlisle Publisher: John Wiley & Sons ISBN: 1118747968 Category : Business & Economics Languages : en Pages : 245
Book Description
The economic climate is ripe for another golden age of shareholder activism Deep Value: Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations is a must-read exploration of deep value investment strategy, describing the evolution of the theories of valuation and shareholder activism from Graham to Icahn and beyond. The book combines engaging anecdotes with industry research to illustrate the principles and methods of this complex strategy, and explains the reasoning behind seemingly incomprehensible activist maneuvers. Written by an active value investor, Deep Value provides an insider's perspective on shareholder activist strategies in a format accessible to both professional investors and laypeople. The Deep Value investment philosophy as described by Graham initially identified targets by their discount to liquidation value. This approach was extremely effective, but those opportunities are few and far between in the modern market, forcing activists to adapt. Current activists assess value from a much broader palate, and exploit a much wider range of tools to achieve their goals. Deep Value enumerates and expands upon the resources and strategies available to value investors today, and describes how the economic climate is allowing value investing to re-emerge. Topics include: Target identification, and determining the most advantageous ends Strategies and tactics of effective activism Unseating management and fomenting change Eyeing conditions for the next M&A boom Activist hedge funds have been quiet since the early 2000s, but economic conditions, shareholder sentiment, and available opportunities are creating a fertile environment for another golden age of activism. Deep Value: Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations provides the in-depth information investors need to get up to speed before getting left behind.
Author: Valentino Zocca Publisher: Packt Publishing Ltd ISBN: 1786460661 Category : Computers Languages : en Pages : 406
Book Description
Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. About This Book Explore and create intelligent systems using cutting-edge deep learning techniques Implement deep learning algorithms and work with revolutionary libraries in Python Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and more Who This Book Is For This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired. What You Will Learn Get a practical deep dive into deep learning algorithms Explore deep learning further with Theano, Caffe, Keras, and TensorFlow Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines Dive into Deep Belief Nets and Deep Neural Networks Discover more deep learning algorithms with Dropout and Convolutional Neural Networks Get to know device strategies so you can use deep learning algorithms and libraries in the real world In Detail With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries. The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results. Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques. Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you'll find everything inside. Style and approach Python Machine Learning by example follows practical hands on approach. It walks you through the key elements of Python and its powerful machine learning libraries with the help of real world projects.
Author: José María Arguedas Publisher: Waveland Press ISBN: 1478607793 Category : Fiction Languages : en Pages : 265
Book Description
Fiction. In English translation. Jos Mara Arguedas is one of the few Latin American authors who loved and described his natural surroundings, and he ranks among the greatest writers of any time and place. He saw the beauty of the Peruvian landscape, as well as the grimness of social conditions in the Andes, through the eyes of the Indians who are a part of it. Ernesto, the narrator of Deep Rivers, is a child with origins in two worlds. The son of a wandering country lawyer, he is brought up by Indian servants until he enters a Catholic boarding school at age 14. In this urban Spanish environment he is a misfit and a loner. The conflict of the Indian and the Spanish cultures is acted out within him as it was in the life of Arguedas. For the boy Ernesto, salvation is his world of dreams and memories. While Arguedas poetry was published in Quechua, he invented a language for his novels in which he used native syntax with Spanish vocabulary. This makes translation into other languages extremely difficult, and Frances Horning Barraclough has done a masterful job, winning the 1978 Translation Center Award from Columbia University.
Author: Ee Kin Chin Publisher: Packt Publishing Ltd ISBN: 1803235349 Category : Computers Languages : en Pages : 516
Book Description
Harness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycle Key Features Interpret your models’ decision-making process, ensuring transparency and trust in your AI-powered solutions Gain hands-on experience in every step of the deep learning life cycle Explore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDeep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency. As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications. By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.What you will learn Use neural architecture search (NAS) to automate the design of artificial neural networks (ANNs) Implement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your model Deal with multi-modal data drift in a production environment Evaluate the quality and bias of your models Explore techniques to protect your model from adversarial attacks Get to grips with deploying a model with DataRobot AutoML Who this book is for This book is for deep learning practitioners, data scientists, and machine learning developers who want to explore deep learning architectures to solve complex business problems. Professionals in the broader deep learning and AI space will also benefit from the insights provided, applicable across a variety of business use cases. Working knowledge of Python programming and a basic understanding of deep learning techniques is needed to get started with this book.
Author: Aske Plaat Publisher: Springer Nature ISBN: 9811906386 Category : Computers Languages : en Pages : 414
Book Description
Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems that were previously considered to be very difficult. In the game of Go, the program AlphaGo has even learned to outmatch three of the world’s leading players.Deep reinforcement learning takes its inspiration from the fields of biology and psychology. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects’ desired behavior can be reinforced with positive and negative stimuli. When we see how reinforcement learning teaches a simulated robot to walk, we are reminded of how children learn, through playful exploration. Techniques that are inspired by biology and psychology work amazingly well in computers: animal behavior and the structure of the brain as new blueprints for science and engineering. In fact, computers truly seem to possess aspects of human behavior; as such, this field goes to the heart of the dream of artificial intelligence. These research advances have not gone unnoticed by educators. Many universities have begun offering courses on the subject of deep reinforcement learning. The aim of this book is to provide an overview of the field, at the proper level of detail for a graduate course in artificial intelligence. It covers the complete field, from the basic algorithms of Deep Q-learning, to advanced topics such as multi-agent reinforcement learning and meta learning.
Author: Brian Lumley
Author: Robert Plamondon
Author: Rivers Solomon
Author: Kevin T. Pickering
Author: V. E. Rosswell
Author: Tobias E. Carlisle
Author: Valentino Zocca
Author: José María Arguedas
Author: Ee Kin Chin
Author: Aske Plaat