This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

This is a Flask app that can classify images of dog and cat. The underlying model is a CNN trained using Keras framework

Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)

Dog vs Cat Classifier is a deep learning model built with TensorFlow to classify images as either dogs or cats. It utilizes a Convolutional Neural Network (CNN) and is trained on the Dog vs Cat dataset from Kaggle. The repository includes training and prediction scripts, allowing users to train the model and classify new images easily. 🚀

We successfully built a deep neural network model by implementing Convolutional Neural Network (CNN) to classify dog and cat images with very high accuracy 97.32 %. In addition, we also built a Flask application so user can upload their images and classify easily.

:cat: :dog: Machine Learning with CNN algorithm to classify image. Is it a cat or dog?

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dog-cat classifier

A CNN Classifier of Cat & Dog using pre-trained Xception model.

This project implements a Dog vs Cat classifier using deep learning techniques. It utilizes convolutional neural networks (CNNs) to accurately classify images of dogs and cats. Built with Python and TensorFlow, this model can be trained on a dataset of labeled images to distinguish between the two animals, enabling efficient image classification.

CNN-based image classification model for binary classification using image augmentation techniques.

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A deep learning model which tells if a given picture is of a dog or a cat

tensorflow-gpu+keras+CNN-CatDogClassifier

用 PyTorch 搭建一个卷积神经网络（CNN），训练它识别图片里是猫还是狗。

Small Flask web app which uses CNN machine Learning model to classify input image as a dog or a cat.

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.

This program implements Convolutional Neural Network (CNN) algorithm using Python, allowing users to upload images and determine whether the uploaded image contains a cat or a dog. The program utilizes a pre-trained CNN model to analyze and classify these images. Various tools such as TensorFlow or PyTorch will be used to implement CNN models. With

A deep learning project using a CNN in TensorFlow to classify cat and dog images. The web app, built with Streamlit, supports real-time camera input and batch file uploads. Implements Grad-CAM for model interpretability, displaying heatmaps of the AI's focus areas on a dynamic, modern user interface.

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Cat-Dog Image Classifier using CNN, Deployed with Flask on Heroku

cat_dog classifier using deep learning(CNN model)

A basic CNN model to classify images of cats and dogs.

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A CNN image classification model

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A CNN based model to predict whether the given input is a cat or a dog.

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