Аннотация к книге "Young Samurai: The Way of the Warrior"
High Quality Content by WIKIPEDIA articles! Young Samurai: The Way of the Warrior is a children's historical novel by Chris Bradford, published in 2008. It is the first in a series of action-adventure stories set in 17th century Japan following the exploits of an English boy, Jack Fletcher, as he strives to be the first gaijin samurai. Young Samurai has been described as a 'Black Belt' Young Bond, Artemis Fowl with Swords and Percy Jackson with Ninja. Three sequels are planned: Young Samurai:...
High Quality Content by WIKIPEDIA articles! Young Samurai: The Way of the Warrior is a children's historical novel by Chris Bradford, published in 2008. It is the first in a series of action-adventure stories set in 17th century Japan following the exploits of an English boy, Jack Fletcher, as he strives to be the first gaijin samurai. Young Samurai has been described as a 'Black Belt' Young Bond, Artemis Fowl with Swords and Percy Jackson with Ninja. Three sequels are planned: Young Samurai: The Way of the Sword (2009), Young Samurai: The Way of the Dragon (2010) and Young Samurai: The Ring of Earth (2010). Jack Fletcher, a 12-year-old English boy, is shipwrecked off the coast of Japan in 1611. His beloved father and the crew of his ship have been slaughtered by ninja pirates. Rescued by the legendary sword master Masamoto Takeshi, Jack has to learn a new language and adjust to a very different culture. Masamoto-sama decides to take him, Jack, to train as a samurai warrior, after he hears that he had defeated a ninja.
Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.
В книге рассказывается о том, как использовать глубокие нейронные сети для создания эффективных поисковых систем. Рассматривается несколько компонентов поисковой системы, дается представление о том, как они работают, и приводятся рекомендации по использованию нейронных сетей в разных контекстах поиска. Особое внимание уделено практическому объяснению методов поиска и глубокого машинного обучения на...
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