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GCN.PY文件计算损失函数第81行 cost = tf.reduce_mean(cost) + reg * l2_loss 但是第77行已经加了L2正则项 cost = (tf.nn.softmax_cross_entropy_with_logits(logits = y_est, labels = y_re)) + reg * l2_loss
cost = tf.reduce_mean(cost) + reg * l2_loss
cost = (tf.nn.softmax_cross_entropy_with_logits(logits = y_est, labels = y_re)) + reg * l2_loss
我想问下第81行是否可以去掉那个reg * l2_loss ？还是我的理解存在错误 thanks in advance
The text was updated successfully, but these errors were encountered:
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GCN.PY文件计算损失函数第81行
cost = tf.reduce_mean(cost) + reg * l2_loss但是第77行已经加了L2正则项
cost = (tf.nn.softmax_cross_entropy_with_logits(logits = y_est, labels = y_re)) + reg * l2_loss我想问下第81行是否可以去掉那个reg * l2_loss ？还是我的理解存在错误
thanks in advance
The text was updated successfully, but these errors were encountered: