/YTU-NeuralNets

Web-based Shape Recognition Deep Learning Application. This project has been created by my workshop /with @YTUMINT @veribilimiytu

Primary LanguagePureBasic

Web-based Shape Recognition Deep Learning Application

Project show-off animation

I did this project at the workshop he attended as a speaker. In fact, we did it together. At the workshop that I attended with the invitation of Yıldız Technical University Mint Club and data science community, we held an event that lasted three hours with over 150+ people. We have created this project together with the live coding event.

Dependencies

You have to install followed libraries with your command line and pip:

  • pip install flask
  • pip install Flask-Cors
  • pip install tensorflow
  • pip install keras
  • pip install numpy
  • pip install pandas
  • pip install opencv-python

How to use ?

  • For training model, run python train.py command on your CLI

  • For predicting images with trained model, run python predict.py command on your CLI

  • There is already a pretrained model exist. So, you can directly start your web app by running python server.py command on your CLI

Thanks to all attendees & collaborators

  • @alihepi
  • @asliakaltunn
  • @ayhangider
  • @aysftmzhrgl
  • @bariscanbilgin
  • @baristokatlioglu
  • @Besteozulku
  • @bestoz
  • @ceyda1307
  • @cmelisa
  • @csenaesenboga
  • @demirelmrtcn
  • @dryzrc
  • @duxeph
  • @eminesozeri
  • @hediyeorhan
  • @HuseyinEfkanAlp
  • @Logenzo
  • @melikecbkc
  • @NihalDiler
  • @selvataas
  • @tugceyaziicii
  • @virosapienti
  • @yeyosef

if i forgot your name but you was attended to my workshop, please mail me umit@aksoylu.space so i can add your name