Skip to content
#

cats-vs-dogs

Here are 88 public repositories matching this topic...

This is my first nice machine learning model, This model gave a 97.85% accuracy in classifying between Cats and Dogs. I made it using a pre-trained base model MobileNet V2 , and after that i added a global average pooling and then a dense layer for categorization between two classes ( cats and dogs) , i used only one dense neuron in last layer e…

  • Updated Jul 27, 2020
  • Jupyter Notebook

This repository contains an ipython notebook which implements a Convolutional Neural Network to do a binary image classification. I used this to classify Cats vs Dogs and you can get the dataset from here https://www.kaggle.com/c/dogs-vs-cats/data . (This model trains with thousands of input images so be patient.)

  • Updated Jan 11, 2018
  • Python

Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation

  • Updated Feb 24, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the cats-vs-dogs topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the cats-vs-dogs topic, visit your repo's landing page and select "manage topics."

Learn more