Implementation of Neural Network for Regression purpose using Mean squared error as Cost function.
The Neural Network consists of two input units(excluding bias unit),one hidden layer with two units and two output units.
-
Notifications
You must be signed in to change notification settings - Fork 0
preranas20/Neural-Network-for-Regression
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Implementation of Artificial Neural Network for Regression purpose using Mean squared error as Cost function.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published