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

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.

My Deep Learning Work

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

Differentiate Dogs from cats using Tensorflow

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.

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

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

CNN, P

Cat Dog Classification

Kaggle Competition

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

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 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