Author: Victor J. Stenger Publisher: Prometheus Books ISBN: 1616144440 Category : Science Languages : en Pages : 326
Book Description
A number of authors have noted that if some physical parameters were slightly changed, the universe could no longer support life, as we know it. This implies that life depends sensitively on the physics of our universe. Does this "fine-tuning" of the universe suggest that a creator god intentionally calibrated the initial conditions of the universe such that life on earth and the evolution of humanity would eventually emerge? In his in-depth and highly accessible discussion of this fascinating and controversial topic, the author looks at the evidence and comes to the opposite conclusion. He finds that the observations of science and our naked senses not only show no evidence for God, they provide evidence beyond a reasonable doubt that God does not exist.
Author: Ivan Vasilev Publisher: Packt Publishing Ltd ISBN: 1789952719 Category : Computers Languages : en Pages : 456
Book Description
Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem Key FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook Description In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles. By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world. What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is for This book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.
Author: Jason Waller Publisher: Routledge ISBN: 1351725475 Category : Philosophy Languages : en Pages : 339
Book Description
If the physical constants, initial conditions, or laws of nature in our universe had been even slightly different, then the evolution of life would have been impossible. This observation has led many philosophers and scientists to ask the natural next question: why is our universe so "fine-tuned" for life? The debates around this question are wide-ranging, multi-disciplinary, complicated, technical, and (at times) heated. This study is a comprehensive investigation of these debates and the many metaphysical and epistemological questions raised by cosmological fine-tuning. Waller’s study reaches two significant and controversial conclusions. First, he concludes that the criticisms directed at the "multiverse hypothesis" by theists and at the "theistic hypothesis" by naturalists are largely unsuccessful. Neither of these options can plausibly be excluded. Choosing between them seems to turn on primitive (and so hard to justify) metaphysical intuitions. Second, in order to break the philosophical deadlock, Waller moves the debate from the level of universes to the level of possible worlds. Arguing that possible worlds are also "fine-tuned" in an important and interesting sense, Waller concludes that the only plausible explanation for the fine-tuning of the actual world is to posit the existence of some kind of "God-like-thing."
Author: David Sloan Publisher: Cambridge University Press ISBN: 1316997278 Category : Science Languages : en Pages : 571
Book Description
Is the universe fine-tuned for complexity, life, or something else? This comprehensive overview of fine-tuning arguments in physics, with contributions from leading researchers in their fields, sheds light on this often used but seldom understood topic. Each chapter reviews a specific subject in modern physics, such as dark energy, inflation, or solar system formation, and discusses whether any parameters in our current theories appear to be fine-tuned and, if so, to what degree. Connections and differences between these fine-tuning arguments are made clear, and detailed mathematical derivations of various fine-tuned parameters are given. This accessible yet precise introduction to fine-tuning in physics will aid students and researchers across astrophysics, atomic and particle physics and cosmology, as well as all those working at the intersections of physics and philosophy.
Author: Peter Gulutzan Publisher: Addison-Wesley Professional ISBN: 9780201791693 Category : Computers Languages : en Pages : 522
Book Description
A very practical guide to making databases run faster and better. A poorly performing database application can cost each user time, and have an impact on other applications running on the same computer or the same network. This book will help DBAUs and programmers improve the performance of their databases.
Author: Jane Bernard Publisher: iUniverse ISBN: 0595371612 Category : Body, Mind & Spirit Languages : en Pages : 256
Book Description
'Your words moved me-inspired me-gave me hope. I am certainly at a crossroads, and meeting you, reading your book-it was like you handed me a map." Leah Johnson, San Francisco, CA 'I have read it 5 times and always, finding something applicable to help me through that day, week. Unknown to them, it has helped my family as I am not such an insecure nervous wreck. You have zeroed in on paper what I could never express in my heart." Barbara Carter, Scarsdale, NY 'Primarily dealing with the 'self, ' this book is an essential guide for the allowance of the true self in our lives. I am pleased to write that your writing style is with wit and candor and an allowance for the reader to journey with freedom through the pages. You give room to pause and reflect-a necessity." Jean Posner, M.D., neuropsychiatry, Baltimore, MD '.it reminded me of Seat of the Soul, but with more humor, intimacy and therefore more accessibility." Judith Garfinkel, The Mead School, Greenwich, CT Visit Jane Bernard at: www.FineTuningBook.com
Author: Jason Waller Publisher: Routledge ISBN: 1351725467 Category : Philosophy Languages : en Pages : 289
Book Description
If the physical constants, initial conditions, or laws of nature in our universe had been even slightly different, then the evolution of life would have been impossible. This observation has led many philosophers and scientists to ask the natural next question: why is our universe so "fine-tuned" for life? The debates around this question are wide-ranging, multi-disciplinary, complicated, technical, and (at times) heated. This study is a comprehensive investigation of these debates and the many metaphysical and epistemological questions raised by cosmological fine-tuning. Waller’s study reaches two significant and controversial conclusions. First, he concludes that the criticisms directed at the "multiverse hypothesis" by theists and at the "theistic hypothesis" by naturalists are largely unsuccessful. Neither of these options can plausibly be excluded. Choosing between them seems to turn on primitive (and so hard to justify) metaphysical intuitions. Second, in order to break the philosophical deadlock, Waller moves the debate from the level of universes to the level of possible worlds. Arguing that possible worlds are also "fine-tuned" in an important and interesting sense, Waller concludes that the only plausible explanation for the fine-tuning of the actual world is to posit the existence of some kind of "God-like-thing."
Author: Anand Vemula Publisher: Anand Vemula ISBN: Category : Computers Languages : en Pages : 33
Book Description
In the age of artificial intelligence, large language models (LLMs) have become powerful tools for understanding and manipulating language. However, unlocking their full potential requires a deeper understanding of fine-tuning, hyperparameter optimization, and hierarchical classification techniques. The LLM Toolkit equips you with a comprehensive guide to take your LLMs to the next level. This book delves into the concept of fine-tuning, explaining how to adapt pre-trained LLMs to specific tasks, such as text classification or question answering. You'll explore various techniques for fine-tuning, including freezing and unfreezing layers, along with strategies for selecting and augmenting task-specific training data. Next, the book tackles the crucial topic of hyperparameter optimization. LLMs have numerous parameters that can significantly impact their performance. This section guides you through the challenges of optimizing these hyperparameters, including the high computational cost and vast search space. You'll discover common techniques like grid search, random search, and Bayesian optimization, along with their strengths and limitations. The book also explores the potential of using LLMs themselves to streamline hyperparameter optimization, paving the way for more efficient fine-tuning processes. Finally, the book dives into hierarchical classification, a powerful approach for categorizing data with inherent hierarchical structures. You'll learn how to leverage LLMs to build hierarchical classifiers, exploring both multi-stage and tree-based approaches. The book delves into the benefits of hierarchical classification for LLMs, including improved accuracy and better handling of ambiguous or noisy data. The LLM Toolkit is your one-stop shop for mastering these advanced LLM techniques. Whether you're a researcher, developer, or simply interested in pushing the boundaries of language models, this book equips you with the practical knowledge and tools to unlock the full potential of LLMs and achieve cutting-edge results in your field.
Author: Justin Ahrens Publisher: John Wiley & Sons ISBN: 1118067827 Category : Business & Economics Languages : en Pages : 176
Book Description
Creative approaches for designing a more balanced life andcareer In the graphic design industry, kerning is the fine-tuning oradjustment of space between letterforms (type). In this book,author Justin Ahrens applies this concept to both the life andcareer of business professionals. There is a common misconceptionthat positive change in one's life only comes from a completesystem overhaul. Ahrens challenges this notion by inviting businessleaders and professionals to not only reassess the various spacesand goals of one's life, but to rethink our understanding ofbalance altogether. This book includes insights and observations from both thecreative and professional world. Guides you in determining what you're passionate about, and howto keep those passions in the forefront of your life andcareer How to create work that stands apart How to cultivate and maintain a group of wise mentors Develop critical decision-making skills Live a life that fuels your work, and work in a way that fuelsyour life. Life Kerning shows you how.
Author: Victor J. Stenger
Author: Ivan Vasilev
Author: David Sloan
Author: Jason Waller
Author: David Sloan
Author: Peter Gulutzan
Author: Jane Bernard
Author: Jason Waller
Author: Anand Vemula
Author: Justin Ahrens