Improving the visualization of projects and portfolios of designers and architects can be achieved by enhancing the illustrativeness and stylization of images using artificial intelligence. The use of neural networks for content generation significantly speeds up the work of designers.
The peculiarities of neural network training for forecasting taxi passenger demand using graphics processing units are considered, which allowed to speed up the training procedure for different sets of input data, hardware configurations, and its power. It has been found that taxi services are becoming more accessible to a wide range of people. The most important task for any transportation company and taxi driver is to minimize the waiting time for new orders and to minimize the distance from drivers to passengers on order receiving.