An implementation of Federated Learning using Pytorch and PySyft

A flask based web application to differentiate between cats and dogs

Contains courses in specializations of coursera on deep learning

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.

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

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

Machine learning Self study - Solution to classify whether given image contains either a dog or a cat.

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

Desafio Prático de Machine Learning do Instituto CTS.

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

Cats vs. Dogs - Classification

Just a silly bot that tels you if you have a picture of a cat or a dog

HDLSS analysis of gene expression data for predicting cancer. Classification of cats & dogs. Generation of text using LSTM.

DL pre-trained mode fine-tuning for cat-dog classification example

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

This project aims to classify cats and dogs using CNN

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

Applying CNN to the classic cats vs dogs classification

Kaggle Classification Challenge on classifying dogs and cats using Transfer Learning.