摘要:
gvs = optimizer.compute_gradients(loss) # 计算出梯度和变量值 capped_gvs = [(tf.clip_by_value(grad, -5e+10, 5e+10), var) for grad, var in gvs] # 梯度裁剪 train_op = optimizer.apply_gradients(capped_gvs, global_ste... 阅读全文
posted @ 2019-05-06 14:07
下路派出所
阅读(1301)
评论(0)
推荐(0)