大约有 39,000 项符合查询结果(耗时:0.0664秒) [XML]

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What is a bank conflict? (Doing Cuda/OpenCL programming)

... 5 Answers 5 Active ...
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What is the meaning of erb?

... 165 erb stands for "Embedded RuBy". A .html.erb or .erb.html file is HTML with Ruby code embedded in...
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Best way to work with transactions in MS SQL Server Management Studio

...lowing link for more details. http://msdn.microsoft.com/en-us/library/ms175976.aspx Hope this helps but please let me know if you need more details. share | improve this answer | ...
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Comparing Timer with DispatcherTimer

... John Cummings 1,30233 gold badges1515 silver badges2626 bronze badges answered Jul 10 '09 at 20:05 Reed CopseyReed Copsey ...
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What is the difference between `after_create` and `after_save` and when to use which?

... Taryn EastTaryn East 25.7k88 gold badges8080 silver badges100100 bronze badges ...
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Python Mocking a function from an imported module

... answered Apr 21 '13 at 18:35 Matti JohnMatti John 14.2k66 gold badges3535 silver badges3838 bronze badges ...
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Difference between $state.transitionTo() and $state.go() in Angular ui-router

... 151 Are you referring to the AngularUI Router? If so, the wiki specifies the differences: $state.g...
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multi-layer perceptron (MLP) architecture: criteria for choosing number of hidden layers and size of

...10 eigenvectors then we can have 10 neural nodes in input layer.If we have 5 output classes then we can have 5 nodes in output layer.But what is the criteria for choosing number of hidden layer in a MLP and how many neural nodes in 1 hidden layer? ...
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T-SQL stored procedure that accepts multiple Id values

...ass a delimited string and loop through it. Using the CLR. SQL Server 2005 and higher from .NET languages only. XML. Very good for inserting many rows; may be overkill for SELECTs. Table of Numbers. Higher performance/complexity than simple iterative method. Fixed-length Elements. Fixed length im...
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Pandas: create two new columns in a dataframe with values calculated from a pre-existing column

..., 'b': [2,3,4]}) In [4]: df Out[4]: a b 0 1 2 1 2 3 2 3 4 In [5]: df["A1"], df["A2"] = zip(*df["a"].map(calculate)) In [6]: df Out[6]: a b A1 A2 0 1 2 2 3 1 2 3 4 6 2 3 4 6 9 share ...