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.

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

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

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

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

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

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

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

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.

Cat vs Dog Image Classifier using CNN implemented using Keras

Cat vs Dog Image Classifier app using CNN implemented using Keras

Using a convolutional neural network on different datasets.

My Deep Learning Work

Cat vs Dog Classification

CNN, P

Resnet50 Transfer Learning

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.

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.

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.