The Statistical Recurrent Unit

authors: Junier B. Oliva, Barnabas Poczos, Jeff Schneider
arxiv: https://arxiv.org/abs/1703.00381
Pytorch implemention of the experiment of SRU with pixel-by-pixel sequential MNIST.
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Requirements

environment: python3.5
pytorch 0.2.0
hyperopt 0.1
numpy 1.13.1
scikit-learn 0.18.2

Implement

python main.py sru: trainning RNNs with fixed parameters.
python tune_params.py sru : tuning hyper parameters with hyperopt.
Choose your model from [sru, gru, lstm]
If you need more information, please run python tune_params.py --help.

notes

I choose Adam for optimization, though SGD is used in the paper. (It might converge faster)
weight_decay is used. (The paper doesn't refer to it)