Wolfram U

Introduction to Neural Networks

Estimated Time: 47 min

Course Level: Beginner


Learn about the properties of neural networks, their component layers, how to combine operations in a chain or graph container and how to train a network using the built-in functions of the Wolfram Language. See the use of encoders and decoders for automatically processing input and output to a network. Follow along step by step as we build a digit classifier from scratch, train a neural network and evaluate its performance.

Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)

You'll Learn To

  • Identify the basic building blocks of a neural network
  • Use encoders, decoders and various layers in a neural net
  • Make use of pre-trained networks in the Wolfram Neural Net Repository
  • Create and train a digit classifier and measure its accuracy