An implementation of Federated Learning using Pytorch and PySyft

Python bot for farming Cats&Dogs telegram bot.

Cat and Dog Classification with Convolutional Neural Networks (CNNs)

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

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

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.

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 e…

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

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

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.)