Section outline

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    Introduction

    Welcome to the topic of Neural Networks! Neural networks are a key component of deep learning, a subset of machine learning that mimics the structure and function of the human brain. In this section, you will learn about the basic elements of neural networks, including neurons, layers, and activation functions. We will explore different types of neural network architectures, such as convolutional and recurrent neural networks, and their applications in solving complex problems. You will also gain hands-on experience in training and testing neural networks using popular tools and frameworks.

    • 4.1 Neural networks Page
      Students must
      View
    • 4.2 Training of neural networks Page
      Students must
      View
    • 4.3 Convolutional Neural Networks (CNN) Page
      Students must
      View
    • 4.4 Recurrent neural networks Page
      Students must
      View
    • 4.5 K-Means algorithm Page
      Students must
      View
    • Exercise 10: Training neural networks Assignment
      Students must
      Make a submission
    • Exercise 11: VGG-16 Network and Image Classification Task Assignment
      Students must
      Make a submission
    • Exercise 12: K-Means algorithm Assignment
      Students must
      Make a submission
    • Students must
      Mark as done

       TOPIC TITLE:   Neural Networks (8T+4E)

      OUTCOMES

      Upon completion of the topic, the student will be able to:

      RECOMMENDED CONTENT AND KEY CONTENT CONCEPTS

      – explain the context of neural networks and deep learning;

      – list typical cases when neural networks can be applied to solve problems;

      – describe the process of training a neural network;

      – List the basic properties and types of architectures of artificial neural networks;

      – Apply a procedure to solve a given problem using neural networks.

      – Neural networks.

      – Training of neural networks.

      – Types of neural networks.

      Exercises:

      1 . Training neural networks.

       Key concepts:   Artificial neural networks.