增加正则项Regularization to Prevent Overfitting
1, model_l1 = tf.estimator.LinearClassifier( model_l1.train(train_inpf) results = model_l1.evaluate(test_inpf) ? 2, model_l2 = tf.estimator.LinearClassifier( model_l2.train(train_inpf) results = model_l2.evaluate(test_inpf)clear_output()for key in sorted(results): print(‘%s: %0.2f‘ % (key,results[key])) (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |