Node.jsで構築したニューラルネットワークでアヤメの分類問題に挑戦
- lodash
- [email protected]
node main.js
学習回数: 数千
学習係数: 0.5
活性化関数: シグモイド関数
訓練データ: 120
テストデータ: 30
訓練データシャッフル: あり
入力ノード: 4
中間ノード: 5
出力ノード: 3
重み: v(入力<->中間), w(中間<->出力)
重みの初期値: 0 <= v,w < 1
バイアス: -1
Node.js neural network.
License: MIT License
Node.jsで構築したニューラルネットワークでアヤメの分類問題に挑戦
node main.js
学習回数: 数千
学習係数: 0.5
活性化関数: シグモイド関数
訓練データ: 120
テストデータ: 30
訓練データシャッフル: あり
入力ノード: 4
中間ノード: 5
出力ノード: 3
重み: v(入力<->中間), w(中間<->出力)
重みの初期値: 0 <= v,w < 1
バイアス: -1
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