• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта

Introduction to neural network and machine translation

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

Преподаватели

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 Джулли, Суджит Пал - Библиотека Keras – инструмент глубокого обучения. Реализация нейронных сетей с помощью библиотек Theano и TensorFlow - Издательство "ДМК Пресс" - 2018 - ISBN: 978-5-97060-573-8 - Текст электронный // ЭБС ЛАНЬ - URL: https://e.lanbook.com/book/111438