Skip to content

The goal of this project is to build and train a convolutional neural network (CNN) that will serve to classify photos of the three football players (Iniesta, Neymar and Messi).

Notifications You must be signed in to change notification settings

abou96/Classification_FCB_players

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Classification_FCB_players

I am happy to share with you my first Deep Learning project in python with Tensorflow-keras. The goal of this project is to build and train a convolutional neural network (CNN) that will serve to classify photos of the three football players (Iniesta, Neymar and Messi).

To achieve this goal, I train the fine-tuned VGG16 model to classify images of the three football players. Finally, I use a simple Flask App to build a web application in order to visualize the result of the model. In this video, you can see that the model predicts well the images given in input with a pretty good accuracy. The next step is to build more deeply learning apps using NLP, RNN models and so on..

PS: Sorry for Real Madrid supporters 😁

Watch the output here

iniesta-neymar-messi!

iniesta-neymar-messi!

About

The goal of this project is to build and train a convolutional neural network (CNN) that will serve to classify photos of the three football players (Iniesta, Neymar and Messi).

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published