Function Approximation and Clustering
Perform regression, classification, and clustering using shallow neural networks
Generalize nonlinear relationships between example inputs and outputs, perform unsupervised learning with clustering and autoencoders.
Categories
- Function Approximation and Nonlinear Regression
Create a neural network to generalize nonlinear relationships between example inputs and outputs - Pattern Recognition
训练一个神经网络推广的例子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