摘要：
from mxnet import gluon,init from mxnet.gluon import loss as gloss, nn from mxnet.gluon import data as gdata from mxnet import nd,autograd import gluo 阅读全文
摘要：
from mxnet import gluon,init from mxnet.gluon import loss as gloss,nn from mxnet.gluon import data as gdata from mxnet import autograd,nd import gluonbook as gb import sys # 读取数据 mnist_train = gdata... 阅读全文
摘要：
from mxnet import autograd, nd num_inputs = 2 num_examples = 1000 true_w = [2,-3.4] true_b = 4.2 feature = nd.random.normal(scale=1,shape=(num_examples,num_inputs)) labels = true_w[0]*feature[:,0] ... 阅读全文
摘要：
GPU In [1]: import mxnet as mx from mxnet import nd from mxnet.gluon import nn In [2]: mx.cpu(),mx.gpu(),mx.gpu(1) Out[2]: (cpu(0), gpu(0), gpu(1)) In 阅读全文
摘要：
还有反向迭代器__reversed__，生成器表达式，等等。 阅读全文