Multilayer Perceptron Nerual Network example
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
README.md
image.png
mnist_mlp_baseline.ipynb
mnist_mlp_baseline.py
model.h5
model.json

README.md

multi.layer.perceptron

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

  1. Python 2 or 3 installed with Anaconda 2/3
  2. Install TensorFlow or Theano
  3. Install Keras
  4. Download the project.
  5. Run python in command line with argument of the multylayer erceptron network.
  6. Enjoy

##Detailed tutorial may be found at my blog https://gettocode.com/2016/12/26/multilayer-perceptron-predictions-exposed/

##Credits:

  1. This project is based on code samples from Deep Learning with Python book by Jason Brownlee from Machine Learning Mastery site. http://machinelearningmastery.com/

  2. 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/