Found 93 repositories(showing 30)
amitrajitbose
End To End Deep Learning Project For Classifying Cat vs Dog Images, using PyTorch
vishal91-hub
No description available
muqadasejaz
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
Aramrt
Resnet50 Transfer Learning
tanvirnwu
No description available
Aditya-Ranjan1234
Find whether the given image if of a CAT or DOG
tarun36rocker
Image Classifier running on Neural Networks and deployed on Heroku through Flask that predicts if inputted image is a cat or dog !
PritamTheCoder
CatVsDog CNN — The ultimate fur-fight classifier! Upload a pic, and see if it’s a meow or a woof in seconds! Powered by PyTorch, Flask, and questionable caffeine levels. Test it live 👇
attapanhyar
My Deep Learning Work
offfahad
Tflite model implementation in flutter to detect the cats and dogs.
rakibhhridoy
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.
kush1307
No description available
harsh-priyam
No description available
bharatsreyus
some basics of DL
pxu4114
Differentiate Dogs from cats using Tensorflow
Asad-Aziz-001
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.
rakibhhridoy
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.
Moddy2024
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.
OmidGhadami95
Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.
Faizan-65
No description available
Dev-Ansh15
No description available
Babita143789
No description available
SumitSonar
No description available
Sharad-18
No description available
Himesh-Sarkar
No description available
Januda-lelwala
No description available
aqsa168
No description available
nfanlo
No description available
thephenom7
cat and dog images are classified using Deep learning
Vikashkmrag
No description available