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 CNN classifier to classify among the images of cats and dogs

A flask based web application to differentiate between cats and dogs

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…

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

Cats vs Dogs Classification using CNN

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

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

Building basic models with different type of data for practice

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

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.