Multilayer Perceptron Nerual Network example
This repository contains all the files needed to run a multilayer perceptron network and actually get a probalbility for a digit image from MNIST dataset.
##To run this model you need Linux/ Windows
- Python 2 or 3 installed with Anaconda 2/3
- Install TensorFlow
- Install Keras
- Download the project.
- Run python in command line with argument of the multylayer erceptron network.
- Enjoy
##Detailed tutorial may be found at my blog https://gettocode.com/2016/12/26/multilayer-perceptron-predictions-exposed/
##Credits:
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This project is based on code samples from Deep Learning with Python book by Jason Brownlee from Machine Learning Mastery site. http://machinelearningmastery.com/
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A few lines were taken from a Ahem Detector With Deep Learning blog post by Francesco Gadaleta from World of Piggy site. http://worldofpiggy.com/2016/11/02/ahem-detector-deep-learning/