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Книга
Integral Robot Technologies and Speech Behavior

Kharlamov A. A., Pantiukhin D., Borisov V. et al.

Newcastle upon Tyne: Cambridge Scholars Publishing, 2024.

Статья
О количестве k-доминирующих независимых множеств в планарных графах

Талецкий Д. С.

Дискретный анализ и исследование операций. 2024. Т. 31. № 1. С. 109-128.

Глава в книге
Neural Networks for Speech Synthesis of Voice Assistants and Singing Machines

Pantiukhin D.

In bk.: Integral Robot Technologies and Speech Behavior. Newcastle upon Tyne: Cambridge Scholars Publishing, 2024. Ch. 9. P. 281-296.

Introduction to neural network and machine translation

2022/2023
Учебный год
ENG
Обучение ведется на английском языке
8
Кредиты

Преподаватели

Малафеев Алексей Юрьевич

Малафеев Алексей Юрьевич

Course Syllabus

Abstract

The course introduces basic concepts of neural networks, deep learning and machine translation.
Learning Objectives

Learning Objectives

  • The purpose of the ciyrse is to develop the ability to use neural network in their research and applied projects.
Expected Learning Outcomes

Expected Learning Outcomes

  • Has an idea of principles of building neural networks
  • Has an idea of the features of convolutional networks
  • Has an idea of the principles of neural networks training
  • Is able to work with Python libraries
  • Has an idea about the regularisation features
  • Has an idea of the basic principles of machine translation
Course Contents

Course Contents

  • Deep Learning
  • The Building Blocks of Neural Networks
  • Classification and Regression with Neural Networks
  • Fundamentals of Machine Learning
  • The Workflow of Machine Learning
  • The Transformer Architecture
  • Sequence-to-sequence learning
  • Modern Architectures for NLP
Assessment Elements

Assessment Elements

  • non-blocking Test
  • non-blocking Laboratory work 1
  • non-blocking Laboratory work 2
  • non-blocking Exam
Interim Assessment

Interim Assessment

  • 2022/2023 3rd module
    0.15 * Laboratory work 2 + 0.15 * Laboratory work 1 + 0.3 * Test + 0.4 * Exam
Bibliography

Bibliography

Recommended Core Bibliography

  • Kelleher, J. D. (2019). Deep Learning. Cambridge: The MIT Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2234376

Recommended Additional Bibliography

  • Антонио, Д. Библиотека Keras – инструмент глубокого обучения. Реализация нейронных сетей с помощью библиотек Theano и TensorFlow / Д. Антонио, П. Суджит , перевод с английского А. А. Слинкин. — Москва : ДМК Пресс, 2018. — 294 с. — ISBN 978-5-97060-573-8. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/111438 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.