Deep Learning & NumPy

Vocaloid, Acid Bossa Nova

April 28th, 2024suno

Lyrics

Deep learning and NumPy 配列操作はお任せあれ テンソルの生成は簡単 np.array で多次元配列 ニューラルネットの重みとバイアス 初期化も楽々さ インデックスとスライスは基本 np. indexing でアクセス 高次元のテンソルも np.squeeze 次元圧縮で管理しやすく for ループは使わないで np.mean と np.sum 層間の演算も np.dot 行列積で接続さ 活性化関数も np.expit シグモイド関数で出力 np.tanh はハイパボリックタンジェント 使い分けようぜ活性化 ランダムな初期化も大事 np.random.rand で均一 np.random.randn でガウス分布 重みの初期化も戦略的に 勾配降下法で学習さ np.gradient で勾配計算 np.apply_along_axis で軸毎に 関数を適用できちゃう ミニバッチで効率上げよう np.split でデータ分割 シャッフルも np.random.shuffle ランダムに並び替え可能 Deep learning and NumPy NumPy NumPy [Outro]

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