RUN.. $jupyter notebook >> demonotes.ipynb
Tensorflow 1.1.0 Python 2.7.6 Python 2.7.6 https://github.com/llSourcell/How_to_make_a_tensorflow_image_classifier_LIVE/blob/master/demonotes.ipynb
##Overview
This is the code for this video by Siraj Raval on Youtube. This Jupyter notebook shows step by step, the process of building a Convolutional Neural Network using Tensorflow to classify MNIST digits.
##Dependencies
- matplotlib
- tensorflow
- numpy
- scikit-learn
- math
install missing dependencies with pip. And install tensorflow via this link.
##Usage
Once dependencies are installed run jupyter notebook in terminal to see the code in your browser.
##Credits
Credits for this code go to Hvass Labs I've merely created a wrapper to get people started