
机器学习
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LSTM 公式推导
Forward Pass: Input and Gate ComputationAt time tt, The LSTM receives a new input vector xtxt (including the bias term), as well as a vector of its output at the previous timestep, ht−1ht−1.转载 2016-12-13 21:54:39 · 644 阅读 · 0 评论 -
Softmax输出层损失函数及偏导数
softmax原创 2017-01-07 10:47:35 · 12559 阅读 · 0 评论 -
Failed to load implementation from: com.github.fommil.netlib.NativeSystemBLAS解决方法
-Dcom.github.fommil.netlib.BLAS=com.github.fommil.netlib.NativeRefBLAS-Dcom.github.fommil.netlib.LAPACK=com.github.fommil.netlib.NativeRefLAPACK-Dcom.github.fommil.netlib.ARPACK=com.github.fommil.原创 2017-01-24 18:38:54 · 27613 阅读 · 5 评论