NEURAL NETWORK FOR GENERATING 3D CONTENT FOR EDUCATIONAL PLATFORMS

Olkhovaya Anastasia Mikhailovna, Romashkova Oxana Nikolaevna

The paper explores the application of neural networks for 3D content generation in educational platforms, emphasizing their potential in improving the educational process. An overview of the fundamentals of neural networks, emphasizing their ability to learn from data to create realistic 3D models. Exploring specific algorithms and techniques, such as convolutional neural networks (CNNs) and generative-adversarial networks (GANs), and their role in generating high-quality 3D content. Special attention is given to the benefits of using such technologies in education, including improved interactivity and visualization of learning materials. Challenges and problems associated with the integration of these innovations into the educational process are also analyzed. The article emphasizes the importance of further research in this area and the potential of neural networks as a tool for transforming education.

Keywords:3D content generation, neural networks, convolutional neural networks (CNNs), generative adversarial networks (GANs), interactive learning, educational technologies