An implementation of Federated Learning using Pytorch and PySyft
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Updated
Sep 1, 2021 - Jupyter Notebook
An implementation of Federated Learning using Pytorch and PySyft
Python bot for farming Cats&Dogs telegram bot.
Cat and Dog Classification with Convolutional Neural Networks (CNNs)
A deep learning model to classify between dogs and cats using transfer learning with RESNET50
In this repository, you will find a deep learning python project to classify 3 classes of images
This repository contains an ipython notebook which implements Convolutional Neural Networks to do a binary image classification.
Train a Deep CNN using images acquired automatically from google search with Selenium
A flask based web application to differentiate between cats and dogs
a CNN classifier to classify among the images of cats and dogs
Cats vs Dogs Classification using CNN
This is my first nice machine learning model, This model gave a 97.85% accuracy in classifying between Cats and Dogs. I made it using a pre-trained base model MobileNet V2 , and after that i added a global average pooling and then a dense layer for categorization between two classes ( cats and dogs) , i used only one dense neuron in last layer e…
AIMS-Ghana Assignment on writing an algorithm to classify whether images contain either a dog or a cat.
Classify whether an image contains a cat or a dog and what is it's breed
Image Classification problem, Cats v/s Dogs Model. Browse to https://imgclassification.herokuapp.com/ for the deployment via Heroku
This repository contains an ipython notebook which implements a Convolutional Neural Network to do a binary image classification. I used this to classify Cats vs Dogs and you can get the dataset from here https://www.kaggle.com/c/dogs-vs-cats/data . (This model trains with thousands of input images so be patient.)
Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation
Desafio Prático de Machine Learning do Instituto CTS.
This repository aims to train a model that is really really good at seeing the difference between a cat and a dog.
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