This repository is a part of the project for the course Computer Vision at the University of Zaragoza. The goal of the project is to classify landmarks using Neural Networks.
-
Updated
May 16, 2023 - Jupyter Notebook
This repository is a part of the project for the course Computer Vision at the University of Zaragoza. The goal of the project is to classify landmarks using Neural Networks.
Udacity Machine Learning Engineer Nanodegree Convolutional Neural Networks (CNN) Project: Dog Breed Classifier
🐠 Recognition of 20 Mediterranean fish species using different state-of-the-art CNNs architectures, transfer learning and data augmentation.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
CNN Binary Classification Model.
Plataforma para clasificar motos Calle, Chopper, Cross, Cuatriciclos, Deportivas, Enduro, Naked, Scooters y Touring) usando Xception.
Adopted a convolutional neural network for COVID-19 testing. Examined the performance of different pre-trained models on CT testing and identified that larger, out-of-field datasets boost the testing power of the models.
Identify dog or cat with deep learning
A comparative study for skin lesion segmentation and melanoma detection where deep learning methods can perform very well without complex pre-processing techniques except for normalization and augmentation.
In this project, I built a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, my algorithm identifies an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed. I submitted this project as part of Udacity's Machien Le…
Stanford dogs dataset breed classification with Xception (CNN)
Retina OCT Images Different Model Train
Advanced COVID-19 Detection From Lung X-Rays With Deep Learning
삼성카드 데이터분석 공모전(SCDC2020) 출품 프로젝트
Classification of flowers using Convolutional Neural Network
Convolutional Neural Networks to detect pneumonia with Chest X-Ray Images
Image classification using deep learning models
Add a description, image, and links to the xception topic page so that developers can more easily learn about it.
To associate your repository with the xception topic, visit your repo's landing page and select "manage topics."