The prophecy of a boy destined to become a link between every universe, training tirelessly to harness his power, facing treacherous gods with unwavering determination, enduring the trials of love and despair with a steadfast smile, will he emerge as the beacon of hope for mankind or will will he unwittingly bring about it's doom? Only time will unveil the true fate of this choosen one, that sounds like an epic and complex journey for our protagonist and the Allies he gathers. it's the classic tale of the hero's journey with the fate of the world hanging in the balance, inspiring others with his courage and resolve, but the path to greatness is often fraught with peril and he will need to stay true to his ideals to avoid becoming the very doom he seeks to prevent. It's a gripping narrative that explores the complexities of heroism and the human condition.

A leading neuroscientist and pioneer in the study of mindfulness explains why addictions are so tenacious and how we can learn to conquer them We are all vulnerable to addiction. Whether it’s a compulsion to constantly check social media, binge eating, smoking, excessive drinking, or any other behaviors, we may find ourselves uncontrollably repeating. Why are bad habits so hard to overcome? Is there a key to conquering the cravings we know are unhealthy for us? This book provides groundbreaking answers to the most important questions about addiction. Dr. Judson Brewer, a psychiatrist and neuroscientist who has studied the science of addictions for twenty years, reveals how we can tap into the very processes that encourage addictive behaviors in order to step out of them. He describes the mechanisms of habit and addiction formation, then explains how the practice of mindfulness can interrupt these habits. Weaving together patient stories, his own experience with mindfulness practice, and current scientific findings from his own lab and others, Dr. Brewer offers a path for moving beyond our cravings, reducing stress, and ultimately living a fuller life.

“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production

Over 400 entries to audiovisual materials received by FNIC before 1977. Includes motion pictures, slides, flashcards, videocassettes, charts, filmstrips, records, posters, transparencies, film loops, phonodiscs, audiotapes, games, audiocassettes, kits, puzzles, and models. Entry gives accession number, bibliographical information, FNIC call number, descriptors, and abstract. Subject, author, title, and media indexes. Contains loan information.

This title shows the process of cleaning code. Rather than just illustrating the end result, or just the starting and ending state, the author shows how several dozen seemingly small code changes can positively impact the performance and maintainability of an application code base.

An entertaining, illustrated adaptation of Ray Dalio’s Principles, the #1 New York Times bestseller that has sold more than two million copies worldwide. Principles for Success distills Ray Dalio’s 600-page bestseller, Principles: Life & Work, down to an easy-to-read and entertaining format that’s acces­sible to readers of all ages. It contains the key elements of the unconven­tional principles that helped Dalio become one of the world’s most suc­cessful people—and that have now been read and shared by millions worldwide—including how to set goals, learn from mistakes, and collaborate with others to produce exceptional results. Whether you’re already a fan of the ideas in Princi­ples or are discovering them for the first time, this illustrated guide will help you achieve success in having the life that you want to have.

University level text. Some complex problems simply do not have "solutions." The key to being an effective leader is being able to recognize and manage such problems. Polarity Management presents a unique model and set of principles that will challenge you to look at situations in new ways. Also included are exercises to strengthen your skills, and case studies to help you begin applying the model to your own unsolvable problems.