Function Approximation and Clustering

• Function Approximation and Nonlinear Regression
  Create a neural network to generalize nonlinear relationships between example inputs and outputs
  
• Pattern Recognition
  Train a neural network to generalize from example inputs and their classes, train autoencoders
  
• Clustering
  Discover natural distributions, categories, and category relationships
  
• Autoencoders
  Perform unsupervised learning of features using autoencoder neural networks
  
• Define Shallow Neural Network Architectures
  Define shallow neural network architectures and algorithms