End To End Deep Learning Project For Classifying Cat vs Dog Images, using PyTorch
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Updated
Jul 22, 2023 - Jupyter Notebook
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
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.
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.
AI Pet Classifier: Instantly identify cats vs. dogs using deep learning. Upload any image for accurate classification with confidence scores. Built with Streamlit and TensorFlow, featuring a modern UI and detailed prediction insights.
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.
Using a convolutional neural network on different datasets.
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
This is a project for a CatvsDog classifier using a very limited number of samples
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