小编use*_*rTG的帖子

我使用卷积神经网络 (CNN) 来训练数据集。这里我得到 epoch、val_loss、val_acc、总损失、训练时间等作为历史记录。如果我想计算准确率的平均值，那么如何访问 val_acc，以及如何绘制 epoch 与 val_acc 以及 epoch 与 val_loss 图？

convnet = input_data(shape=[None, IMG_SIZE, IMG_SIZE, 3], name='input')
convnet = conv_2d(convnet, 32, 3, activation='relu')
convnet = max_pool_2d(convnet, 3)

convnet = conv_2d(convnet, 64, 3, activation='relu')
convnet = max_pool_2d(convnet, 3)

convnet = conv_2d(convnet, 128, 3, activation='relu')
convnet = max_pool_2d(convnet, 3)

convnet = conv_2d(convnet, 32, 3, activation='relu')
convnet = max_pool_2d(convnet, 3)

convnet = conv_2d(convnet, 64, 3, activation='relu')
convnet = max_pool_2d(convnet, 3)

convnet = fully_connected(convnet, 1024, activation='relu')
convnet = dropout(convnet, 0.8)

convnet …