ae | 易学教程

格全明指都同身度变

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许太第已时日论导

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生土要元共百每状

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离头切求例也适示

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率连议北复酸成全

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提阶省会自众持

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不内求持应员动

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感情出共别信区

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计算几何

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https://www.xht37.com/%e8%ae%a1%e7%ae%97%e5%87%a0%e4%bd%95-%e5%ad%a6%e4%b9%a0%e7%ac%94%e8%ae%b0/ https://www.cnblogs.com/nietzsche-oier/p/8798540.html https://www.wjyyy.top/3412.html#i-43 https://blog.csdn.net/qq_40861916/article/details/83541403 https://www.cnblogs.com/xzyxzy/p/10241872.html https://www.cnblogs.com/xzyxzy/p/10033130.html 来源： https://www.cnblogs.com/Hikigaya/p/11913580.html

How to exactly add L1 regularisation to tensorflow error function

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可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Hey I am new to tensorflow and even after a lot of efforts could not add L1 regularisation term to the error term x = tf.placeholder("float", [None, n_input]) # Weights and biases to hidden layer ae_Wh1 = tf.Variable(tf.random_uniform((n_input, n_hidden1), -1.0 / math.sqrt(n_input), 1.0 / math.sqrt(n_input))) ae_bh1 = tf.Variable(tf.zeros([n_hidden1])) ae_h1 = tf.nn.tanh(tf.matmul(x,ae_Wh1) + ae_bh1) ae_Wh2 = tf.Variable(tf.random_uniform((n_hidden1, n_hidden2), -1.0 / math.sqrt(n_hidden1), 1.0 / math.sqrt(n_hidden1))) ae_bh2 = tf.Variable