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Talk about having big shoes to fill. Eli Manning - the younger brother of record-breaking Peyton and the son of legendary quarterback Archie - was the NFL’s number-one draft pick in 2004. At first, the media criticized his inconsistent performance as the New York Giants’ quarterback, but he silenced all doubters when he led his team to an unlikely Super Bowl victory in 2008. Find out how Eli proved that he’s a champion quarterback in his own right.
When Eli Manning joined the NFL after being chosen with the first pick in the 2004 draft, many people compared him to his older brother Peyton. After Eli led his New York Giants to victory in the 2007-2008 Super Bowl, people stopped wondering if he was as good as his brother. When Eli was named Super Bowl MVP and the Giants won the big game again in 2011-2012, people began comparing him to football's all-time great quarterbacks.
Peyton and Eli Manning are now NFL superstars, but they are still kids in Family Huddle. Readers of all ages will follow along as Eli and Petyon pile into the car with older brother Cooper for a trip to visit their grandparents. Their dad, former NFL star Archie Manning, isat the wheel. The boys joke around and play football at every opportunity. Readers learn about the famous family and football too, as the boys run fun plays like the buttonhook, quarterback sneak, and hook and ladder.Family and football have always been a big deal in the Manning family. Family Huddle is based on some of the Mannings' memories from their days in Louisiana and Mississippi.
From an early age, Peyton Manning loved the mental challenge of playing quarterback. He is known for his extraordinary understanding of the game and his tireless work ethic. As the star of the Indianapolis Colts, he is on track to break career records set by history’s greatest quarterbacks. Even so, he is a team player, and he achieved his greatest victory when he led the Colts to a Super Bowl championship in 2007. Find out how this football heir is proving himself as the NFL’s next legend.
A brief look at the life and career of football player Eli Manning.
“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
On snowboarder Shaun White's first run on the halfpipe at the 2010 Winter Olympic Games in Vancouver, Canada, he set the high score and secured the gold medal. On his second run, which people called a "victory lap," Shaun set an even higher score to destroy the competition. But Shaun is more than a two-time Olympic snowboarding champion. He's also a world-class skateboarder. As the first person to compete in both the Summer and Winter X Games, Shaun is the biggest star in two sports. Learn more about his high-flying skills and unique personality.
A stolen bicycle led twelve-year-old Cassius Clay to his first boxing teacher. He spent endless hours training, determined that he would one day become the heavyweight champion of the world. In 1964 he beat Sonny Liston to make his prediction come true. When Ali refused to fight in the Vietnam War, his title was stripped from him, and he was banned from boxing. But just a few years later, he made an incredible comeback. Find out how Ali became one of the most popular athletes in the world.
Lance Armstrong achieved what no other cyclist ever had. He won the grueling 2,000-plus-mile Tour de France—a famous bicycle race through the towns and mountains of Europe—seven times. And he did it all after a life-or-death struggle with cancer. As he stepped onto the victor’s podium for the seventh time, he left experts amazed and opponents in awe . Learn how this champion made it to the top.