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Generative Neural Network for Simulation of Human Immune System

Student: Ivanov Aleksei

Supervisor: Eduard Klyshinskiy

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Final Grade: 9

Year of Graduation: 2019

In the last 5 years, computer technologies in the field of machine learning have undergone a significant leap in development and spread their influence in many areas of various applied sciences. This project is an attempt to uncover the possibilities of modern neural network approaches to solving some problems in the field of immunology. The basic modern neural network generative approaches, methods of their training will be considered. The possibilities of embedding the Attention module and seq2seq methods in the generative models will also be considered. The result of the work is a neural network model in the Python programming language using a modern framework for deep learning PyTorch, testing and comparison with analogs.

Full text (added May 25, 2019)

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