:book: 每一个伟大的**和行动都有一个微不足道的开始
今天，你将开始新的生活。今天，你将爬出满是失败创伤的老茧。今天，你将重新来到这个世上，出生在葡萄园中，园中的葡萄任人享用。今天，你要从最高最密的藤上摘下智慧的果实，这葡萄藤是好几代前人的智者种下的。今天，你要品尝葡萄的美味，还要吞下每一粒成功的种子，让新生命在你心里萌芽。
数据科学家的道路，充满机遇，也有辛酸与绝望。失败的铜板数不胜数，叠在一起比金字塔还高。然而，你不会向他们一样失败，因为你手中持有航海图，可以迎你越过汹涌的大海，抵达梦中的彼岸。失败不再是你奋斗的代价，它和痛苦都将从你的生命中消失，失败和你就像水火一样互不相融。你不再向过去一样接受它们，你要在智慧的引导下，走出阴影，步入富足、健康、快乐的乐园。
在effective-tf.md中定义模型函数的时候，
import numpy as np
import TensorFlow as tf
x = tf.placeholder(tf.float32)
y = tf.placeholder(tf.float32)
w = tf.get_variable("w", shape=[3, 1])
f = tf.stack([tf.square(x), x, tf.ones_like(x)], 1)
yhat = tf.squeeze(tf.matmul(f, w), 1)
loss = tf.nn.l2_loss(yhat - y) + 0.1 * tf.nn.l2_loss(w)
train_op = tf.train.AdamOptimizer(0.1).minimize(loss)代码会报错，说“ValueError: Variable w already exists, disallowed. ”
需要显示的说明，完成变量共享。即在前面加上“tf.variable_scope("f", reuse=tf.AUTO_REUSE)”
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