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 CNN classifier to classify among the images of cats and dogs
A flask based web application to differentiate between cats and dogs
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…
Cats vs Dogs Classification using CNN
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 my implementation on Constitutional Neural Networks on Cats and Dogs dataset
Building basic models with different type of data for practice
DogDiary 🐶🐾🐶 is your go-to app for endless supplies of adorable dog pictures and quirky cat facts. It's the perfect pick-me-up for those days when all you need is a furry friend to brighten your day.
Desafio Prático de Machine Learning do Instituto CTS.
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