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DNN_後編1 (演習結果と考察)

Posted at

深層学習3-3,4 Jupyter演習 (Section1:再帰型ニューラルネットワークの概念)Section1-1:RNN全体像

[3_1_simple_RNN]

【演習実施結果】

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【考察】

・活性化関数にReLUを使った場合、勾配爆発が起ってしまい、学習に失敗した。
・今回初めて活性化関数に、Hyperbolic Tangent関数を適用してみた。Hyperbolic Tangentは、RNNではよく使われる。

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