转载、引用请索引本文链接,谢谢!
1. 安装与文档
http://nodejh.com/post/install-mxnet-on-macos/#%E5%9C%A8-python-%E4%B8%AD%E4%BD%BF%E7%94%A8-mxnet
tutorials
https://mxnet.apache.org/tutorials/index.html
demo
https://mxnet.incubator.apache.org/tutorials/gluon/mnist.html
python
https://www.w3cschool.cn/python/python-basic-syntax.html
2. demo - Handwritten Digit Recognition
https://mxnet.incubator.apache.org/tutorials/gluon/mnist.html
MLP-关键变量及主要语句
data label net output loss metric
data、label:load,NDArrayIter,split_and_load
net:define,init
output:append,update
loss:softmax_cross_entropy_loss,backward
metric:update,get
3.使用
4.语法
1) loss
pred_loss = mx.sym.Group([mx.sym.BlockGrad(y), loss])
mx.sym.MakeLoss仅仅相当于自定义Loss,并没有涉及到prediction,因此在想获取prediction时,需要通过Group将prediction=mx.BlockGrad(y)和loss合并起来。
mx.symbol.Group, 变量集合。
https://saicoco.github.io/usage/
2)concat
concat 方法用于连接两个或多个数组。