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NLP2017 NMT Tutorial
by Toshiaki Nakazawa
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![多層パーセプトロン
• モデル作成結果
Start training with 1 devices
[1] Train-accuracy=0.38
[1] Validation-accuracy=0.333333333333333
[2] Tr...](https://image.slidesharecdn.com/20160924tokyor57-160924135252/75/mxnet-20-2048.jpg?cb=1668100411)
![多層パーセプトロン
• モデルを検証⽤データに当てはめ
> # 検証⽤データに当てはめ
> preds <- predict(model, test.x)
> head(t(preds))
[,1] [,2] [,3]
[1,] 0.99992...](https://image.slidesharecdn.com/20160924tokyor57-160924135252/75/mxnet-23-2048.jpg?cb=1668100411)
![畳み込みニューラルネットワーク
• データの読み込み
> # MNISTデータの読み込み
> load_mnist()
>
> # 28x28(=784)のレコードが60000個
> dim(train$x)
[1] 60000 784
>](https://image.slidesharecdn.com/20160924tokyor57-160924135252/75/mxnet-39-2048.jpg?cb=1668100411)
