KEYWORDS: Design and modelling, Education and training, Scientific research, Data communications, Visualization, Optical spheres, Information science, Data storage, Visual analytics, Statistical analysis
In the context of scientific and technological progress, the rapid development of information technologies, the problem of training qualified specialists who are able to work effectively in the new information environment is becoming increasingly urgent. Design and research activities of students are one of the main areas that ensure the development and formation of competencies necessary for professional and research work. Within the framework of the digital transformation that is being carried out in Russia, the use of digital technologies at different stages of research and the organization of design and research activities are the most relevant. The paper presents options for using digital tools and services for organizing work, establishing communication, collaborating, planning and accounting for completed tasks within the framework of the research project.
The article proposes a solution to the problem of handwriting recognition using the capabilities of convolutional neural networks. The architecture of the created ConvNet is described. The main stages of the neural network design process are listed. The created neural network allows to recognize the numbers and letters of the Russian and English alphabets received at the input using various input devices (mouse, graphics tablet, touchpad, etc.). This algorithm can be applied to the analysis of handwriting calligraphy and its correction. Examples of the use in practice of a digital tool created by the authors are given.
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