ORIGINALITY OF DESIGN OBJECTS CREATED WITH THE HELP OF NEURAL NETWORKS

This article examines in detail the current issue of originality design objects created using neur- al networks, and denotes that degree result depends on various factors, such as complexity query, transformation original visual image, use non-neural network models. The focuses importance understanding artistic plagiarism design, which helps define boundaries between unique borrowed creativity. A careful analysis findings led to conclusion there is a significant correlation formulation query resulting image. Thus, order achieve most creative results, it necessary carefully approach initial queries choice neural net- work parameters.