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.

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

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"

Identify dog or cat with deep learning

2020.06 개인프로젝트 원숭이 이미지 분류

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.

Semantic segmentation models for @work

Xception model to predict Dog's breed from it's image

A react application with a deep learning model to generate caption for images

Convolutional Neural Networks to detect pneumonia with Chest X-Ray Images

Image classification using deep learning models

Xception model predict dog breeds from dog picture , flask web site

CNN Binary Classification Model.

Plataforma para clasificar motos Calle, Chopper, Cross, Cuatriciclos, Deportivas, Enduro, Naked, Scooters y Touring) usando Xception.