Litgu.ru - Литературный Гуру

Название:«Люблю цветы»
Номер: № 5 (108), 2018
Издатель: ООО «Пресс-Курьер Украина»
Страниц: 50
Формат: pdf
Размер: 52,09 Мб

"Люблю цветы" – популярное издание для тех, кто любит выращивать цветы - озеленять подоконники, балконы или садовые участки. Журнал о цветах — дачных и комнатных, известных и не очень. В нем можно найти практические советы по выращиванию и уходу за цветами, методами борьбы с вредителями от цветоводов-любителей, рекомендации специалистов. Журнал целиком составлен из писем любителей домашних растений и содержит богатейший опыт, накопленный читателями. В журнале также содержатся практические советы по фито- и ландшафтному дизайну, искусству букета, уделено место статьям о роли цветов в интерьере дома, целительных свойствах растений, «цветочной» кулинарии и «цветочным» путешествиям.
Тема выпуска: "Источник вдохновения".

Название: How to Fine-tune Support Vector Machines for Classification
Автор: Ionut Brandusoiu, Gavril Toderean
Издательство: GAER Publishing House
Год: 2020
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

In Machine Learning (ML), support-vector machines (SVMs) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. This book covers in the first part the theoretical aspects of support vector machines and their functionality, and then based on the discussed concepts it explains how to find-tune a support vector machine to yield highly accurate prediction results which are adaptable to any classification tasks. The introductory part is extremely beneficial to someone new to learning support vector machines, while the more advanced notions are useful for everyone who wants to understand the mathematics behind support vector machines and how to find-tune them in order to generate the best predictive performance of a certain classification model.

Название: How to Fine-tune Neural Networks for Classification
Автор: Ionut Brandusoiu, Gavril Toderean
Издательство: GAER Publishing House
Год: 2020
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB

This book covers in the first part the theoretical aspects of neural networks and their functionality, and then based on the discussed concepts it explains how to find-tune a neural network to yield highly accurate prediction results which are adaptable to any classification tasks. The introductory part is extremely beneficial to someone new to learning neural networks, while the more advanced notions are useful for everyone who wants to understand the mathematics behind neural networks and how to find-tune them in order to generate the best predictive performance of a certain classification model. For a better understanding of the underlying theory of neural networks for classification, Chapter 1 describes supervised learning in the context of Machine Learning and all its related concepts.

Название: The Great War: U.S. Army Artifacts
Автор: Sarah G. Forgey
Издательство: Department of the Army
Год: 2018
Формат: PDF
Страниц: 164
Размер: 22,1 МБ
Язык: Английский

This book uses high-resolution photographs and a wealth of historical research to showcase objects relating to the First World War from the collections of the Army Museum Enterprise (AME) to mark the centennial of World War I. The artifacts presented in the book are a small sample of the more than 34,000 World War I artifacts in the AME's vast collection.

Название: U.S. Army Campaigns of the Vietnam War: Transition, November 1968 - December 1969
Автор: Adrian G. Traas
Издательство: Center of Military History
Год: 2018
Формат: PDF
Страниц: 76
Размер: 13,9 МБ
Язык: Английский

The U.S. Army Center of Military History recently published a new pamphlet in its U.S. Army Campaigns of the Vietnam War series, Transition, November 1968–December 1969, by Adrian G. Traas. The author discusses the gradual reduction of the U.S. Armys involvement in Vietnam that began after Richard M. Nixon was elected president in November 1968.