title: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð°Ñ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ ÑÑÐ¸Ð»Ñ Web-ÑÑÑÐ°Ð½Ð¸ÑÑ Ð½Ð° Ð±Ð°Ð·Ðµ ÑÑÐºÐ¸Ð·Ð½Ð¾Ð³Ð¾ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Auto generation of Web-page style based on a thumbnail image
Creators: name: ÐÑÐ¸Ð³Ð¾ÑÑÐµÐ², ÐÐ½Ð´ÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: Ð°Ð²ÑÐ¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ ÑÑÐ¸Ð»Ñ web-ÑÑÑÐ°Ð½Ð¸ÑÑ
ÑÐ²ÑÑÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¾Ð±ÑÑÐ°ÑÑÐ°Ñ Ð²ÑÐ±Ð¾ÑÐºÐ¸
Ð´ÐµÐºÐ¾Ð´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÑÐ°Ð±Ð¾ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸
Web-page style auto generation
convolutional neural networks
training samples
decoding
of neural network results

description: Ð¢ÐµÐ¼Ð° Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ â ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð°Ñ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ ÑÑÐ¸Ð»Ñ Web-ÑÑÑÐ°Ð½Ð¸ÑÑ Ð½Ð° Ð±Ð°Ð·Ðµ ÑÑÐºÐ¸Ð·Ð½Ð¾Ð³Ð¾ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ. Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐ¸ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð¸ ÑÑÐ¸Ð»Ñ web-ÑÑÑÐ°Ð½Ð¸ÑÑ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. ÐÐ±ÑÐµÐºÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ²ÑÑÑÐ¾ÑÐ½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ. ÐÑÐµÐ´Ð¼ÐµÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð°Ð²ÑÐ¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ ÑÑÐ¸Ð»Ñ Web-ÑÑÑÐ°Ð½Ð¸ÑÑ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð¸Ð·ÑÑÐµÐ½Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¼ÐµÑÐ¾Ð´Ñ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ web-ÑÑÑÐ°Ð½Ð¸Ñ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ¹. Ð¢Ð°ÐºÐ¶Ðµ Ð±ÑÐ» ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð° Ð°ÐºÑÑÐ°Ð»ÑÐ½Ð¾ÑÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð² Ð½Ð°ÑÑÐ½Ð¾Ð¹ ÑÑÐµÐ´Ðµ. ÐÑÐ» Ð²ÑÐ±ÑÐ°Ð½ Ð¾Ð¿Ð¾ÑÐ½ÑÐ¹ Ð¼ÐµÑÐ¾Ð´ Ð´Ð»Ñ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð°, Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÐ½ ÑÐ¸Ð¿ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð½Ð° Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ð¸ ÑÐ²ÑÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. ÐÑÐ»Ð° Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð¾Ð²Ð°Ð½Ð° ÑÑÑÑÐºÑÑÑÐ° Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. Ð ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ» Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²Ð»ÐµÐ½Ð° Ð¾Ð±ÑÑÐ°ÑÑÐ°Ñ Ð²ÑÐ±Ð¾ÑÐºÐ°. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¿ÑÐ¾Ð¼ÐµÐ¶ÑÑÐ¾ÑÐ½ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð±ÑÐ» ÑÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½ Ð´ÐµÐºÐ¾Ð´ÐµÑ Ð²ÑÑÐ¾Ð´Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. Ð Ð°Ð±Ð¾ÑÐ° Ð¿Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸Ð»Ð°ÑÑ Ð² Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¹ ÑÑÐµÐ´Ðµ PyCharm 3.8 Ð´Ð»Ñ ÑÐ·ÑÐºÐ° Python. ÐÐ»Ñ Ð¿Ð¾Ð´ÐºÐ»ÑÑÐµÐ½Ð¸Ñ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½Ð¾Ð³Ð¾ ÑÑÐºÐ¾ÑÐµÐ½Ð¸Ñ Ð±ÑÐ»Ð° Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð° Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ° tensorflow, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐ°Ñ ÑÐ°ÑÐ¿Ð°ÑÐ°Ð»Ð»ÐµÐ»Ð¸Ð²Ð°ÑÑ Ð²ÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ Ð¿ÑÐ¾ÑÐµÑÑÑ. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ Ð² ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐ°Ð±Ð¾ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑ Ð´Ð¾Ð±Ð¸ÑÑÑÑ ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾Ð³Ð¾ ÑÐ½Ð¸Ð¶ÐµÐ½Ð¸Ñ Ð²ÐµÐ»Ð¸ÑÐ¸Ð½Ñ Ð¾ÑÐ¸Ð±ÐºÐ¸ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ.
description: The topic of this work is auto generation of Web-page style based on a thumbnail image. The goal of the work is to study the possibility of automated generation of a web page style using a neural network. The object of work is a convolutional neural network. The subject of work is the auto-generation of the Web-page style using neural networks. In the course of work, the existing methods of creating web pages using neural networks were studied. The relevance of this work in the scientific environment was also considered. A reference method was chosen to create our own approach and to determine the type of neural network. In the course of work, we developed our own approach based on the use of a convolutional neural network. As a part of the study, the structure of the neural network was organized. During the study, a training sample was prepared. In the process of work, a decoder of the output data of the neural network was formed. The work on training the neural network was carried out in the PyCharm 3.8 software environment for the Python. To connect hardware acceleration, the Tensorflow library was used, which allowed parallelizing computational processes. The algorithms obtained as a result of the work made it possible to achieve a stable reduction in the value of the learning error.