Machine Learning Basics Lecture 3: Perceptron

•Connectionism: explain intellectual abilities using connections between neurons (i.e., artificial neural networks) •Example: perceptron, larger scale neural networks. Symbolism example: Credit Risk Analysis Example from Machine learning lecture notes by Tom Mitchell.

Fullscreen Download

Tags:

Lecture, Network, Basics, Using, Machine, Learning, Artificial, Neural network, Neural, Artificial neural networks, Perceptrons, Machine learning basics lecture 3

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Other abuse

Transcription of Machine Learning Basics Lecture 3: Perceptron

Related search queries

Time series, Using Artificial Neural Networks, Artificial, Neural networks