This project has the purpose of being able to relate the principles learned and only mentioned during the case of Intelligent Systems, thanks to the curiosity and guidance of the teacher, it is proposed to carry out a program that allows to recognize numbers written by hands through a neural network. Keras and MNIST will be used as main tools according to the teacher's recommendations.
These instructions will allow you to get a copy of the project running on your local machine for development and testing purposes.
See Deployment to know how to deploy the project.
What things do you need to install the project and how to install them
Python>= 3.5 <= 3.8 X64 (IMPORTANT!)
Una serie de ejemplos paso a paso que te dice lo que debes ejecutar para tener un entorno de desarrollo ejecutandose
First Stepts
First we will copy our repository in our local machine https://github.com/JoseCarlosPa/IA-Image-recognition
Once installed we will go to the corresponding path of the project e intalaremos las librerias
pip3 install numpy
pip3 install matplotlib
pip3 install tensorflow
pip3 install tensorflow_datasets
If you got problems with de viusal c++ on windows
Used Tools
- TensorFlow - Automatic Learning
- Keras - Deep learning Framework for Data sicence
- PyCharm - IDE For Python developers
- MNIST - DataSet for Image recognitiion
You can find much more about how to use this project in our Wiki
- Jose Carlos Pacheco Sanchez - Initial Work - JoseCarlosPa
This project is under the License (MIT) - see the file LICENSE.md for more details