Skip to content

Latest commit

 

History

History
22 lines (12 loc) · 749 Bytes

README.md

File metadata and controls

22 lines (12 loc) · 749 Bytes

tensorflow_neural_net_live_demo

This is the code for the 'Tensorflow Neural Network' Live session by @Sirajology on Youtube

##Overview

This is a short script that creates a convolutional neural network using Tensorflow to classify handwritten character digits. The dataset is called MNIST.

##Dependencies

##Demo

Run the following in terminal and it will train on the MNIST digits, then test its classification accuracy on the provided test digit images.

python demo.py

##Credits

The credits for this code go to Aymeric Damien. I've merely created a wrapper to get people started.