some basics of DL

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

CNN, P

Differentiate Dogs from cats using Tensorflow

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 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

Cat Dog Classification

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.

using MobilNet to classify cats vs dogs with tensorflow

My Deep Learning Work

Cat vs Dog Classification

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

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.

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

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

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.