构建神经网络 import gluonbook as gb import mxnet as mx from mxnet import autograd, gluon, init, nd from mxnet.gluon import loss as gloss, nn import time net = nn.Sequential() net.add(nn.Conv2D(channels=6, kernel_size=5, activation='sigmoid'), nn.MaxPool2D(pool_size=2, strides=2), nn.Conv2D
