Difference between revisions of "General Regression Neural Network (GRNN)"
| Line 11: | Line 11: | ||
http://static1.squarespace.com/static/51d342a0e4b0290bcc56387d/t/51ddb856e4b0e5482bdf3e7a/1373485241911/weights.gif | http://static1.squarespace.com/static/51d342a0e4b0290bcc56387d/t/51ddb856e4b0e5482bdf3e7a/1373485241911/weights.gif | ||
| − | <youtube> | + | <youtube>rgQxVdOr9b8</youtube> |
| − | <youtube> | + | <youtube>H1fhVBc-bcM</youtube> |
| + | <youtube>uLa-b3JxWAM</youtube> | ||
| + | <youtube>H1fhVBc-bcM</youtube> | ||
Revision as of 06:46, 2 June 2018
- AI Solver
- ...predict values
- Capabilities
- Neural Network Regression | Microsoft
- When should we use logistic regression and Neural Network? | Sebastian Raschka
The simplest neural network performs least squares regression - single-layer neural network, with a single node that uses a linear activation function
