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import mxnet as mx


    

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# Data Perpare 
mx.recordio.MXIndexedRecordIO # create empty .rec 
mx.recordio.IRHeader # label 
mx.recordio.pack_img # pack img with label 
mx.io.ImageRecordIter # read


    

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# Model definition 
mx.sym.Variable
# data = mx.sym.Variable('data')
# out = VGG(data)
mx.sym.Convolution
mx.sym.BatchNorm
mx.sym.Activation
mx.sym.LinearRegressionOutput 
mx.sym.reshape
mx.sym.transpose 
mx.sym.split 
mx.sym.MakeLoss
mx.sym.Group
mx.sym.BlockGrad
# if sym is a symbol 
sym = mx.sym.Variable('someVar')
sym.get_internals
sym.list_arguments
sym.list_outputs


    

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# Model Training/Testing 
mx.model.load_checkpoint
# to bind mem to sym 
mx.mod.Module
# for metric 
mx.metric.create
# save a model 
mx.callback.do_checkpoint
# print speed and print metric 
mx.callback.Speedometer
# learning rate scheduler 
mx.lr_scheduler.FactorScheduler
# param init 
mx.init
# for monitor (debugging)
mx.mon.Monitor


    

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Help on function Group in module mxnet.symbol:

Group(symbols)
    Creates a symbol that contains a collection of other symbols, grouped together.
    
    Example usage:
    ----------
    >>> a = mx.sym.Variable('a')
    >>> b = mx.sym.Variable('b')
    >>> mx.sym.Group([a,b])
    <Symbol Grouped>
    
    Parameters
    ----------
    symbols : list
        List of symbols to be grouped.
    
    Returns
    -------
    sym : Symbol
        A group symbol.