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Author: Geraint F. Lewis Publisher: Cambridge University Press ISBN: 1316715221 Category : Science Languages : en Pages : 395
Book Description
Over the last forty years, scientists have uncovered evidence that if the Universe had been forged with even slightly different properties, life as we know it - and life as we can imagine it - would be impossible. Join us on a journey through how we understand the Universe, from its most basic particles and forces, to planets, stars and galaxies, and back through cosmic history to the birth of the cosmos. Conflicting notions about our place in the Universe are defined, defended and critiqued from scientific, philosophical and religious viewpoints. The authors' engaging and witty style addresses what fine-tuning might mean for the future of physics and the search for the ultimate laws of nature. Tackling difficult questions and providing thought-provoking answers, this volumes challenges us to consider our place in the cosmos, regardless of our initial convictions.
Author: Geraint F. Lewis Publisher: Cambridge University Press ISBN: 1316715221 Category : Science Languages : en Pages : 395
Book Description
Over the last forty years, scientists have uncovered evidence that if the Universe had been forged with even slightly different properties, life as we know it - and life as we can imagine it - would be impossible. Join us on a journey through how we understand the Universe, from its most basic particles and forces, to planets, stars and galaxies, and back through cosmic history to the birth of the cosmos. Conflicting notions about our place in the Universe are defined, defended and critiqued from scientific, philosophical and religious viewpoints. The authors' engaging and witty style addresses what fine-tuning might mean for the future of physics and the search for the ultimate laws of nature. Tackling difficult questions and providing thought-provoking answers, this volumes challenges us to consider our place in the cosmos, regardless of our initial convictions.
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: 1351725467 Category : Philosophy Languages : en Pages : 313
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: Billy C. Langley Publisher: CRC Press ISBN: 9780824709211 Category : Technology & Engineering Languages : en Pages : 342
Book Description
This comprehensive, hands-on manual covers all of the procedures necessary to fine-tune HVAC/R systems for optimum operating efficiency. Easy-to-follow guidelines and worksheets guide readers through each step of the process, giving them the tools they need to assure that equipment can operate at peak efficiency as designed by the manufacturer. The full spectrum of systems and equipment are covered, including electric heating, gas heating, oil burners, air conditioning systems, heat pumps, and refrigeration equipment. A wealth of helpful diagrams, illustrations, estimating tools, and worksheets are also provided. Multiple tear-out copies of each worksheet are provided for use on the job.
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: 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: Anand Vemula Publisher: Anand Vemula ISBN: Category : Computers Languages : en Pages : 44
Book Description
In the ever-evolving world of Natural Language Processing (NLP), "Master NLP with Hugging Face: A Fine-tuning Toolkit" equips you to unlock the power of pre-trained models from Hugging Face. This comprehensive guide empowers you to transform these powerful models into workhorses for your specific NLP tasks. Gone are the days of training complex NLP models from scratch. This book dives into the art of fine-tuning, a technique that leverages the vast knowledge pre-trained models have already acquired and tailors it to your specific needs. You'll delve into the fundamentals of fine-tuning, understanding how to take a pre-trained model and adjust its final layers to excel on your chosen NLP task, whether it's text classification, sentiment analysis, question answering, or summarization. The book doesn't just provide theory - it's a hands-on toolkit. You'll establish your NLP development environment, ensuring you have the necessary tools to get started. By following step-by-step guides, you'll navigate the treasure trove of pre-trained models on the Hugging Face Model Hub, selecting the perfect model for your project. Data is the fuel for fine-tuning, and this book equips you to prepare your data effectively. Learn essential data cleaning and pre-processing techniques to ensure your model receives high-quality input. Master the art of data splitting, creating distinct training, validation, and test sets to optimize your model's performance and generalization capabilities. As you venture into fine-tuning, the book equips you to tackle challenges like overfitting and data requirements. Explore techniques to mitigate these issues and ensure your fine-tuned model performs exceptionally well on unseen data. Moving beyond the basics, "Master NLP with Hugging Face" introduces you to advanced concepts like building custom pipelines for text processing and customizing training configurations for optimal performance. You'll also gain insights into evaluation metrics, allowing you to precisely measure the effectiveness of your fine-tuned model for your specific NLP task. This book is your gateway to the exciting world of fine-tuning Hugging Face Transformers. With its comprehensive guidance and practical approach, you'll be well on your way to building robust and efficient NLP applications that can handle real-world challenges.
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: Geraint F. Lewis
Author: Geraint F. Lewis
Author: Victor J. Stenger
Author: Ivan Vasilev
Author: David Sloan
Author: Jason Waller
Author: Billy C. Langley
Author: David Sloan
Author: Anand Vemula
Author: Anand Vemula
Author: Jane Bernard