Cat and Dog Classification with Convolutional Neural Networks (CNNs)

An implementation of Federated Learning using Pytorch and PySyft

Python bot for farming Cats&Dogs telegram bot.

A deep learning model to classify between dogs and cats using transfer learning with RESNET50

In this repository, you will find a deep learning python project to classify 3 classes of images

This repository contains an ipython notebook which implements Convolutional Neural Networks to do a binary image classification.

Train a Deep CNN using images acquired automatically from google search with Selenium

No description provided.

Deep learning project for classifying cat vs. dog images, built from scratch as part of my preparation for MSc AI. Includes multiple CNN architectures, training workflows, and final evaluation.

A flask based web application to differentiate between cats and dogs

a CNN classifier to classify among the images of cats and dogs

Cats vs Dogs Classification using CNN

No description provided.

AIMS-Ghana Assignment on writing an algorithm to classify whether images contain either a dog or a cat.

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 even when i had to classify 2 classes because , as we know that in test data there will only be two type of images cats and dogs , so we can just classify dogs and then ones that doesn't qualify the classification are cats. It has been trained on a small dataset to show how a machine learning model can work well even on a small dataset if we use pre-trained models inn architecture.

Classify whether an image contains a cat or a dog and what is it's breed

Image Classification problem, Cats v/s Dogs Model. Browse to https://imgclassification.herokuapp.com/ for the deployment via Heroku

image class by cnn with good results and accuracy

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.)

Deliverables relating to the Advanced Computer Vision for AI University Unit

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

Project Name: "FurFlix 🐱🐶: Classifying Cats and Dogs with CNN" Description: This project utilizes Convolutional Neural Networks (CNN) to build a model for classifying images of cats and dogs with an impressive 80% accuracy.

Contains courses in specializations of coursera on deep learning

Desafio Prático de Machine Learning do Instituto CTS.

This repository aims to train a model that is really really good at seeing the difference between a cat and a dog.

cat-dog classifer

This Repository contains my implementation on Constitutional Neural Networks on Cats and Dogs dataset

Building basic models with different type of data for practice

DogDiary 🐶🐾🐶 is your go-to app for endless supplies of adorable dog pictures and quirky cat facts. It's the perfect pick-me-up for those days when all you need is a furry friend to brighten your day.

EE4483 AI & Data Mining project option 2, cats vs dogs. VGG19 implemented in Pytorch