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假设一个三分类任务, ytruei = tf.Variable([0], dtype=tf.float32) ypred = tf.Variable([[0.5,0.25,0.25]]) ypred2 = tf.Variable([[0.5,0.4,0.1]]) 对于ypred与ypred2来讲两者的loss不应该相同, 把负样本的损失也加上比较好
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假设一个三分类任务,
ytruei = tf.Variable([0], dtype=tf.float32)
ypred = tf.Variable([[0.5,0.25,0.25]])
ypred2 = tf.Variable([[0.5,0.4,0.1]])
对于ypred与ypred2来讲两者的loss不应该相同,
把负样本的损失也加上比较好
The text was updated successfully, but these errors were encountered: