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Theano implementation of Memory Networks

Home Page: http://arxiv.org/abs/1410.3916

Shell 4.60% Python 95.40%

memnn's Introduction

This repository is deprecated in favor of End-To-End Memory Networks: npow/MemN2N

Description

This is an implementation of Memory Networks in Theano. The dataset can be found here.

Below are the results obtained from the current implementation on the set of toy tasks. Performance is better than LSTMs in most of the tasks, but it is still not quite at the level as the MemNN results reported in the original paper.

Task# N-gram Classifier LSTM MemNN (Weston 2014) This Repo
1 36 50 100 76
2 2 20 100 70
3 7 20 20 18
4 50 61 71 67
5 20 70 83 81
6 49 48 47 45
7 52 49 68 N/A
8 40 45 77 N/A
9 62 64 65 67
10 45 54 59 54
11 29 72 100 54
12 9 74 100 63
13 26 94 100 46
14 19 27 99 100
15 20 21 74 100
16 43 23 27 40
17 46 51 54 56
18 52 52 57 53
19 0 8 0 N/A
20 76 91 100 100
Mean 34 49 75 64.1

memnn's People

Contributors

npow avatar wuxiyu avatar

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