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ConvoNeuroNet

The required packages and libraries are all in terence_env.yml
My own enviroment:
OS: GNU/Linux 3.16.0-4-amd64 x86_64 Debian.jessie
python version: anaconda 1.4.0
python 2.7.12

Download The Dataset

The Street View House Numbers (SVHN) Dataset

Set Up Enviroment

Make sure you have installed anaconda

  1. Create a local enviroment as mine:
    conda env create -f terence_env.yml

  2. Activate the enviroment(whose name is 'tensorflow'):
    source activate tensorflow

Run the jupyter notebook

jupyter notebook data_preprocess.ipynb

This is my current directory tree if it helps:

.
├── conv_net.ipynb
├── convonet_model.mdl
├── convonet_model.mdl.meta
├── data_preprocess.ipynb
├── extra/
├── extra.tar.gz
├── project_report.pdf
├── README.md
├── summaries
├── SVHN.pickle
├── terence_env.yml
├── test/
├── test.pickle
├── test.tar.gz
├── toy_data.pickle
├── train/
├── train.tar.gz
└── valid.pickle

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Train a deep convolutional network to recognize multi-digit numbers in pictures.

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