Steven Spielberg’s classic sci-fi story of interplanetary friendship makes a perfect picture book for the whole family. When E.T. the Extra-Terrestrial was released in theaters back in 1982, its bittersweet story enchanted millions and the film surpassed Star Wars to become the highest-grossing movie of all time. Now the cinematic blockbuster is transformed into an illustrated storybook, with colorful, adorable drawings by Kim Smith. Here is a story you can’t help but love: After E.T. is stranded on Earth, he takes refuge with Elliott, a boy in need of a friend. Together they find a way to help E.T. get back home. Along the way, both child and alien learn important lessons about courage, friendship, and the power of imagination. This is the perfect read-along story for children, their parents, and E.T. fans across the universe.
"Documenting the complete history of E.T., the book explores Spielberg's initial inspiration for the story, the challenging shoot, and the record-breaking success, as well as the film's endurance, examining the merchandising it inspired and the reasons E.T. holds a permanent place in the hearts of movie fans the world over. E.T. the Extra-Terrestrial: The Ultimate Visual History features exclusive interviews with key members of the creative team, including cast and crew. Filled with visual treasures, the book also includes rare and never-before-seen imagery from the Amblin Entertainment archives, including on-set photography, concept art, and storyboards, plus a wealth of removable insert items, such as annotated script pages, studio memos, preliminary sketches, and more."--Provided by publisher.
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.
E.T. is the movie that created one of the most recognized icons of the twentieth century, and has become the enduring classic about a remarkable friendship between a boy and an alien visitor. And this is the only book that tells the story of how the movie was conceived and made. Here are stories from director Steven Spielberg, writer Melissa Mathison, producer Kathleen Kennedy, child stars Henry Thomas and Drew Barrymore, and members of the crew. Spielberg and Mathison tell us how E.T. evolved from Spielberg's concept into Mathison's screenplay. We learn about the mechanics of how the alien was made to walk, talk, eat, and phone home. We go on the set to discover, firsthand, how the most memorable scenes were filmed, including the scene of the boys flying over the moon and the good-bye scene that had us in tears. Lavishly illustrated, with full-color stills and behind-the-scenes photographs, E.T. The Extra-Terrestrial from Concept to Classic includes the complete screenplay, as well as excerpts from the reviews and feature stories that appeared when the film was first released in 1982. Here is a book that puts you in the director's chair during the making of one of the most extraordinary films ever created.
Evapotranspiration (ET) is a critical component of the water and energy balances, and the number of remote sensing-based ET products and estimation methods has increased in recent years. Various aspects of remote sensing of ET are reported in the 11 papers published in this book. The major research areas covered by this book include inter-comparison and performance evaluation of widely used one- and two-source energy balance models, a new dual-source model (Soil Plant Atmosphere and Remote Sensing Evapotranspiration, SPARSE), and a process-based model (ETMonitor); assessment of multi-source (e.g., remote sensing, reanalysis, and land surface model) ET products; development or improvement of data fusion frameworks to predict continuous daily ET at a high spatial resolution (field-scale or 30 m) by fusing the advanced spaceborne thermal emission reflectance radiometer (ASTER), the moderate resolution imaging spectroradiometer (MODIS), and Landsat data; and investigating uncertainties in ET estimates using an ET ensemble composed of several land surface models and diagnostic datasets. The effects of the differences between ET products on water resources and ecosystem management were also investigated. More accurate ET estimates and improved understanding of remotely sensed ET products are crucial for maximizing crop productivity while minimizing water losses and management costs.
Lecture à haute voix, 8e et 9e années, Congrégation de Notre-Dame, Québec, Canada, 1941 ***Veuillez noter que ce livre a été mis en forme à partir d'anciens manuels scolaires scannés. Il arrive donc que les pages ne soient pas imprimées correctement, ou qu'il y ait des lettres effacées, des petits défauts, etc. Merci de votre compréhension!***