In this project, PyTorch is used to create and train a ResNet-18 model and apply it to a set of chest X-ray data. [Project done on Coursera Project Network]
Functions for creating or updating correspondence tables between two statistical classifications
A landscape classification algorithm that utilizes pattern recognition techniques in supervised machine learning with a statistical classifier.
Objective of this project is to create an image classification model that can predict Chest X-Ray scans that belong to one of the three classes: Normal, Viral Pneumonia, COVID-19 with a reasonably high accuracy using PyTorch.
Este projeto busca desenvolver um aplicativo que usa dados de sensores de pulso (smartwatches) para acompanhar exercícios de treinamento de força.
CNN for identifying COVID-19 from X-Rays scans using Pytorch
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