some demo for practice DL
shicoder / deeplearning_demo Goto Github PK
View Code? Open in Web Editor NEW深度学习入门的一些简单例子
深度学习入门的一些简单例子
请问一下,这里运行正常但是无法识别到model.ckpt,每次都重新训练,是怎么回事
为什么运行BP算法之后,提示有错误?
ValueError: not enough values to unpack (expected 2, got 0)
我目前使用该代码用了好几种tensorflow版本好像都报错了,希望可以告知一下您的代码使用的tensorflow的版本,感谢!
rt
according to tensorflow.org
the loss function you use here is:
def loss_with_spring(self):
margin = 5.0
labels_t = self.y_
labels_f = tf.subtract(1.0, self.y_, name="1-yi") # labels_ = !labels;
eucd2 = tf.pow(tf.subtract(self.o1, self.o2), 2)
eucd2 = tf.reduce_sum(eucd2, 1)
eucd = tf.sqrt(eucd2+1e-6, name="eucd")
C = tf.constant(margin, name="C")
# yi*||CNN(p1i)-CNN(p2i)||^2 + (1-yi)*max(0, C-||CNN(p1i)-CNN(p2i)||^2)
pos = tf.multiply(labels_t, eucd2, name="yi_x_eucd2")
# neg = tf.multiply(labels_f, tf.sub(0.0,eucd2), name="yi_x_eucd2")
# neg = tf.multiply(labels_f, tf.maximum(0.0, tf.sub(C,eucd2)), name="Nyi_x_C-eucd_xx_2")
neg = tf.multiply(labels_f, tf.pow(tf.maximum(tf.subtract(C, eucd), 0), 2), name="Nyi_x_C-eucd_xx_2")
losses = tf.add(pos, neg, name="losses")
loss = tf.reduce_mean(losses, name="loss")
return loss
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