There are 1 repository under cats-vs-dogs topic.
An implementation of Federated Learning using Pytorch and PySyft
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
Image Classification problem, Cats v/s Dogs Model. Browse to https://imgclassification.herokuapp.com/ for the deployment via Heroku
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.
AIMS-Ghana Assignment on writing an algorithm to classify whether images contain either a dog or a cat.
Classify whether an image contains a cat or a dog and what is it's breed
Desafio Prático de Machine Learning do Instituto CTS.
Top 5% on Kaggle leaderboard using fast.ai library and resnet50 along with transfer learning.
STAT 671 Cats and Dogs Classifier Demo
EE4483 AI & Data Mining project option 2, cats vs dogs. VGG19 implemented in Pytorch
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.
This repository aims to train a model that is really really good at seeing the difference between a cat and a dog.
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
cat-dog classifer
Using Pytorch with Django To distinguish Cats from Dogs by Fine Tuning pretrained Model.
Contains courses in specializations of coursera on deep learning
Building basic models with different type of data for practice
HDLSS analysis of gene expression data for predicting cancer. Classification of cats & dogs. Generation of text using LSTM.
This Repository contains my implementation on Constitutional Neural Networks on Cats and Dogs dataset
Kaggle Classification Challenge on classifying dogs and cats using Transfer Learning.
Are you a cat or a dog?😹 vs 🐕🦺这是一个基础的猫狗分类项目,采用Tensorflow框架构建,包含了训练、测试与推理部分~~💖
A cats and dogs classifier using CNN
Find App Link below. This project involves using CNNs to predict facial landmarks on images of cat faces. It utilizes Python, OpenCV, TensorFlow, and Keras libraries for image processing, modeling, and training. The ResNet50 architecture is employed as the base model, augmented with dense layers for facial landmark prediction
A deep learning model to classify between dogs and cats using Keras
Training a small model using Tensorflow, and Keras to identify images of cats and dogs.
Tensorflow binary image classifier based on ResNet50