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>>> import datetime
>>> datetime.datetime(2002, 12, 4, 20, 30, 40).ctime()
'Wed Dec 4 20:30:40 2002'
>>> n = datetime.datetime(2006, 8, 11, 23, 32, 43, 109000)
>>> time.mktime(n.timetuple())
1155310363.0
convert
a timestamp to datetime (datetime.datetime.fromtimestamp())
转载于:https://www.cnblogs.com/SophiaTang/archive/2012/03/06/2381754.html
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B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012",}```Contact: rasmusbergpalm at gmail dot comDirectories included in the toolbox-----------------------------------`NN/` - A library for Feedforward Backpropagation Neural Networks`CNN/` - A library for Convolutional Neural Networks`DBN/` - A library for Deep Belief Networks`SAE/` - A library for Stacked Auto-Encoders`CAE/` - A library for Convolutional Auto-Encoders`util/` - Utility functions used by the libraries`data/` - Data used by the examples`tests/` - unit tests to verify toolbox is workingFor references on each library check REFS.mdSetup-----1. 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DateTime to TimeStamp
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