CNN, P

This is a project for a CatvsDog classifier using a very limited number of samples

Kaggle Competition

Cat Dog Classification

This project focuses on building a powerful image classification model to distinguish between cats and dogs using a Convolutional Neural Network (CNN)

using MobilNet to classify cats vs dogs with tensorflow

Cat vs Dog Image Classifier app using CNN implemented using Keras

This project is a simple image classification implementation using TensorFlow. It demonstrates how to train a neural network model to classify images of cats and dogs and make predictions on new images. This project is suitable for beginners looking to learn abo

VGG Deep Convolutional Network fine tuned on Cat vs Dog dataset using Transfer Learning. VGG was trained on famous IMAGENET dataset.

Implementation of Binary image classification using Tensorflow Keras

This is application created with Flutter to classify weather the image which is provided is shows cat or dog.

Cat vs Dog Classification

Cat vs Dog Image Classifier using CNN implemented using Keras

Tflite model implementation in flutter to detect the cats and dogs.

A Computer vision based deep learning binary classification model which categorize an image as a cat or a dog. Model was trained on 30,000 images.

Using a convolutional neural network on different datasets.

This Repository contains basic programs on Deep Learning and fewer parts of Computer Vision too.

This project focuses on classifying images of cats and dogs using Convolutional Neural Networks (CNNs) with PyTorch. The dataset used for this project is from Kaggle's "Dogs vs Cats Redux" competition.

Developing a web app of machine learning model using flask is quite easy. One should have some basic knowledge in web development,not so much but quite a bit. It is just a introductory web app in flask classifying cat vs dog by deep learning model.

some basics of DL