End To End Deep Learning Project For Classifying Cat vs Dog Images, using PyTorch

Resnet50 Transfer Learning

This project implements a deep learning–based image classification system to accurately distinguish between cats and dogs Using transfer learning with a pre-trained ResNet50 model

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My Deep Learning Work

Tensorflow deep learning model serving using flask. The template is simple as main concern is building the web app. Template making quite easy than serving,it shows all the steps needed to linking the model with our web application.

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

some basics of DL

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.

Differentiate Dogs from cats using Tensorflow

Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.

I have trained two different CNN models for binary image classification to see which architecture has better accuracy, takes less time in training, how hyperparamters affect training and how many epochs do each of them need. I achieved 96% accuracy on the best model.

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

using MobilNet to classify cats vs dogs with tensorflow

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

Implementation of Binary image classification using Tensorflow Keras

A full-stack web application to classify images as cat or dog using a PyTorch model and Django backend.

Using a convolutional neural network on different datasets.

Cat Dog Classification

CNN, P

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.

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

Kaggle Competition

Cat vs Dog Classification

This projects a deep learning model is used to classify cats and dogs

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.

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.