Mxnet

http://mxnet.io

뭘 이렇게들 만들어 대는지. tf가 맘에 안들기는 하지만.

Mxnet/Basics

Mxnet/Training and Inference

etc

• batch normalization example

def ConvFactory(data, num_filter, kernel, 
                stride=(1,1), pad=(0, 0),name=None, suffix=''):
    conv = mx.sym.Convolution(data=data,
                  num_filter=num_filter,
                  kernel=kernel,
                  stride=stride,
                  pad=pad,
                  name='conv_%s%s' %(name, suffix))
    bn = mx.sym.BatchNorm(data=conv, name='bn_%s%s' %(name, suffix))
    act = mx.sym.Activation(data=bn, act_type='relu', name='relu_%s%s'
                  %(name, suffix))
    return act

• feature extraction
  • Predict with pre-trained models
  • How do I fine-tune pre-trained models to a new dataset?