Yorick Brown, the last man on Earth, finally makes it to San Francisco where his unbalanced sister, Hero, finds him seemingly succumbing to the male-killing plague after losing his still-unused engagement ring to the burqa-clad agents of the Setauket Ring. But is the ring really the key to his survival? And what does it have to do with the mysterious Amulet of Helene, which the Setauket leader is determined to take from Agent 355 by any means necessary. Collects issues #24-31 of the runaway hit Vertigo series by Brian K. Vaughan (EX-MACHINA, ASTONISHING X-MEN, RUNAWAYS) and Pia Guerra.
Adventures inspired by the best-selling Pokémon video games! All your favorite Pokémon game characters jump out of the screen into the pages of this action-packed manga! Gold discovers what Silver's mission is and uncovers the secret identity of the masked man. A massive battle is about to begin in the Ilex Forest, and the Legendary Pokémon and the Pokédex holders will all be there. In the midst of chaos, what will Gold do?!
Awesome adventures inspired by the best-selling Pokémon X and Y video games! All your favorite Pokémon game characters jump out of the screen into the pages of this action-packed manga! X, Y and company meet Trevor's online friend Professor Sycamore...but X is suspicious of him. Trevor sets out to get his Holo Caster repaired by Lysandre...who turns out to be another suspicious character. And finally, Alexa is excited about her journalism scoop but is unexpectedly betrayed! Can our friends trust anyone...?
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.
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
The NIV is the world's best-selling modern translation, with over 150 million copies in print since its first full publication in 1978. This highly accurate and smooth-reading version of the Bible in modern English has the largest library of printed and electronic support material of any modern translation.
