Wolfram U

Recurrent Neural Networks

Estimated Time: 27 min

Course Level: Intermediate


Recurrent neural networks are useful when solving problems dealing with sequential data. Learn how you can work with recurrent neural nets using the neural network framework in Wolfram Language. See a simple example of integer addition and look at an advanced application of recurrent nets for question-answering tasks.

Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One), Wolfram Neural Net Repository

You'll Learn To

  • Recognize when recurrent networks are useful
  • Implement a recurrent neural network
  • Work with built-in layers specifically intended for recurrent networks
  • Use the neural network framework in Wolfram Language