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indrnn-pytorch-1's Introduction

indRNN-pt

PyTorch implementation of Independently Recurrent Neural Networks by Shuai Li et al. (accepted to CVPR2018).

How to Run

test the trained model

on MNIST: python3 Sequential_task.py --test --test_model=./best_model_mnist.pt --dataset=mnist --log_folder=./test

train

  1. on MNIST: python3 Sequential_task.py --dataset=mnist
  2. on pMNIST: python3 Sequential_task.py --dataset=pmnist

Env

Python 3.6.6
pytorch 0.4.0
torchvision 0.2.1
cuda 8.0
numpy 1.14.5

Result

task valid test
sequential-mnist 98.98 98.80
p-mnist 94.22
(94.40 from
Theano&Lasagne)
-
fashion-mnist 91.60 -

indrnn-pytorch-1's People

Watchers

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