Goodfellows

St. Ambrose High, one of the most storied programs in Michigan high-school history, didn't even have its own football field. But success pulsated from the three-story building in Detroit between 1957 and 1967, when tiny St. Ambrose produced six football All-Americas, 16 all-state performers, future NFL players, and Super Bow champs. They were products of this legendary school where old-fashioned values trumped individual glory, and where football was the glue of this community.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

'Matt Goodfellow is a fresh voice on the children's poetry scene.' (Pie Corbett) What if cats had flavoured fur or if you swallowed the sun? What if you were a special kind of badger or if you found a map to the stars? And what if your home was split during the week: one half at Mum's, the other half at Dad's? Packed with brilliant poems that explore a whole range of themes from the downright silly to the sensitive, this collection will delight, enthuse and resonate with children and adults alike!

It started with a cartoon—“Forgotten,” by Tom May—in which a poor child, too young and innocent to understand why she had not received a Christmas present from Santa, weeps over an empty stocking. It ran on Christmas Day in 1908 in the Detroit Journal, where it caught the attention of key Detroit businessmen. Deeply moved, they entered into a solemn pact to do all within their power to prevent any Detroit child from being “forgotten.” In 1914, under the leadership of James J. Brady, himself a former newsboy, the Old Newsboys’ Goodfellow Fund of Detroit was formed. This year, the fund celebrates 100 years of making sure there is “no kiddie without a Christmas.” One such fortunate kiddie was retired Detroit News columnist Pete Waldmeir, a longtime Goodfellow who generously agreed to write the introduction to this book, Old Newsboys’ Goodfellow Fund of Detroit: 100 Years.

A case of mistaken identity leads to unintentional criminal activity when a dream family holiday goes terribly wrong in this punny comedy caper from author-illustrator Tom McLaughlin.

Stolen in broad daylight on her way home from school, for Ava Hanlon, the nightmare is only just beginning. So young and achingly naïve, Ava is no match for her depraved new master, Father Mathew Aaron, a well-respected priest, and a man hellbent on consuming her innocence to the very last drop. There is no hope. No light. There is only Callum. A troubled, tormented young man imprisoned in the same room as her. As each day slips by without rescue, all that is left is this fierce, dark entity stirring between them—something far more threatening to her virtue than even Father Aaron’s obsessive game. Something so powerful, it may just make her want to stay for keeps. A dark psychological romance that’s full of twists and turns you won’t see coming.

Longlisted for the 2019 Jhalak Prize. From the 1960s the UK's immigration policy - introduced by both Labour and Tory governments - has been a toxic combination of racism and xenophobia. Maya Goodfellow tracks this history through to the present day, looking at both legislation and rhetoric, to show that distinct forms of racism and dehumanisation have produced a confused and draconian immigration system. She examines the arguments made against immigration in order to dismantle and challenge them. Through interviews with people trying to navigate the system, legal experts, politicians and campaigners, Goodfellow shows the devastating human costs of anti-immigration politics and argues for an alternative. This new edition includes an additional chapter, which explores the impacts of the 2019 election and the ongoing immigration enforcement during the coronavirus pandemic.

The authors guide to turn dreaming into achieving