def cost(label, logit): loss = sigmoid_loss(label=label, logit=logit) return loss
def cost(logit): # loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(labels = label, logits = logit)) label = tf.ones_like(logit) loss = sigmoid_loss(label=label, logit=logit) return loss