Handwritten digit recognition with TFLearn. Using the MNIST dataset, which contains images of handwitten single digits and their respective lavels (numbers from 0 to 9), we train a neuronal network that recognizes handwritten digits.
- Download anaconda
conda create -n tflearn python=3.5
- Activate the source
source activate tflearn
- Ensure you have numpy, jupyter notebook, matplotlib and pandas.
conda install numpy pandas jupyter notebook matplotlib
- Run the following to open up the notebook:
jupyter notebook Handwritten\ Digit\ Recognition\ with\ TFLearn.ipynb
You can open the jupyter notebook directly in github Handwritten Digit Recognition with TFLearn.ipynb
