Building Blocks for Deep Learning

Course Overview

This video course explores how to construct neural networks in the Wolfram Language. The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network, as well as automatically process input and output using encoders and decoders. You'll learn how to build feed-forward networks and about recurrent neural nets and why they are interesting.

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

Video Duration

  • Video 128 minutes
  • Video 227 minutes