AI Paper English F.o.R.

人工知能(AI)に関する論文を英語リーディング教本のFrame of Reference(F.o.R.)を使いこなして読むブログです。

2019-08-27から1日間の記事一覧

Dropout | Abstract 第3文

Large networks are also slow to use, making it difficult to deal with overfitting by combining the predictions of many different large neural nets at test time. Nitish Srivastava, et al., "Dropout: A Simple Way to Prevent Neural Networks f…

Dropout | Abstract 第2文

However, overfitting is a serious problem in such networks. Nitish Srivastava, et al., "Dropout: A Simple Way to Prevent Neural Networks from Overfitting" http://jmlr.org/papers/volume15/srivastava14a/srivastava14a.pdf ノードをランダムに消…

Dropout | Abstract 第1文

Deep neural nets with a large number of parameters are very powerful machine learning systems. Nitish Srivastava, et al., "Dropout: A Simple Way to Prevent Neural Networks from Overfitting" http://jmlr.org/papers/volume15/srivastava14a/sri…