Neural networks are a fundamental concept in machine learning. This tutorial will provide an overview of neural networks, including their architecture, types, and applications.

What are Neural Networks?

Neural networks are a series of algorithms that attempt to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.

Neural Network

Types of Neural Networks

There are several types of neural networks, including:

  • Feedforward Neural Networks
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Generative Adversarial Networks (GANs)

Applications of Neural Networks

Neural networks have a wide range of applications, such as:

  • Image and video recognition
  • Natural language processing
  • Speech recognition
  • Stock market analysis

For more information on neural networks, check out our in-depth guide.

Resources