A Convolutional Neural Network (CNN) designed to classify input images of animals as either "cats" or "dogs" using two convolutional layers and the ReLU activation function. The model achieves an average of 80% accuracy over the dataset across training, validation, and testing, and performs superiorly in almost every respect to a similarly designed Artificial Neural Network (ANN), which is also provided in the notebook file in this repository.
-
Notifications
You must be signed in to change notification settings - Fork 0
ARNAVTALWANI/Cats-and-Dogs-Classification-System
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A Convolutional Neural Network (CNN) designed to classify input images of animals as either "cats" or "dogs" using two convolutional layers and the ReLU activation function.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published