Skip to content

Rodin-Sh/CatDogClassificationModel

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 

Repository files navigation

Overview

A CNN model that classifies between cats and dogs, with highest validation accuracy achieved being 80.05%.

Convolutional Neural Network

The CNN model has the architecture as below:

  • Conv2D
  • MaxPool2D
  • Conv2D
  • MaxPool2D
  • Flatten
  • Dense
  • Dense

Dataset

The dataset from Dogs & Cats Images was used to train the algorithm.

About

A convolutional neural network model classifying between cats and dogs, with highest validation accuracy achieved being 80.05%.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors