Keras model about the shvn problem, with this dataset: https://www.kaggle.com/olgabelitskaya/svhn-preproccessed-fragments/data.

I improve this kernel: https://www.kaggle.com/olgabelitskaya/svhn-digit-recognition and I apply a similar architecture proposed in the official paper: https://arxiv.org/pdf/1312.6082.pdf

STEPS

1. Download the dataset from https://www.kaggle.com/olgabelitskaya/svhn-preproccessed-fragments/data, and put it in the housenumbers directory (create it if you don't have it).
2. Install the dependencies with pip3 if you use PyPi with sudo pip3 install pandas matplotlib tensorflow keras numpy ipython
3. Execute the notebook with ipython3 notebook svhnModel.ipynb