- 23 7月, 2011 35 次提交
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由 Frederic Bastien 提交于
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由 Frederic Bastien 提交于
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由 Frederic Bastien 提交于
Small refactoring at the same time.
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由 Frederic Bastien 提交于
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由 Frederic Bastien 提交于
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由 Razvan Pascanu 提交于
The formula before was wrong, it does not work when inputs are matrices, because it depends on which axis y is computed. I believe this formulation is much better.
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由 Razvan Pascanu 提交于
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由 Razvan Pascanu 提交于
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由 Razvan Pascanu 提交于
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由 Razvan Pascanu 提交于
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由 Razvan Pascanu 提交于
Before only the gradient of inc_subtensor was ok ( and it also was the only one checked)
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由 Razvan Pascanu 提交于
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由 Razvan Pascanu 提交于
numpy.all doesn't check dtype and shape
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由 Pascal Lamblin 提交于
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由 Pascal Lamblin 提交于
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由 Pascal Lamblin 提交于
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由 Pascal Lamblin 提交于
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由 Pascal Lamblin 提交于
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由 Pascal Lamblin 提交于
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由 Frederic Bastien 提交于
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由 Pascal Lamblin 提交于
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由 Pascal Lamblin 提交于
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由 Pascal Lamblin 提交于
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由 Frederic Bastien 提交于
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由 Frederic Bastien 提交于
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由 James Bergstra 提交于
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由 Frederic Bastien 提交于
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由 James Bergstra 提交于
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由 James Bergstra 提交于
Rationale: its name shadowed the scipy package, and it was not successful in simplifying other modules' code that had to do scipy version checks. (Which is only two places anyway).
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由 James Bergstra 提交于
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由 James Bergstra 提交于
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由 James Bergstra 提交于
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由 Frederic Bastien 提交于
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由 Pascal Lamblin 提交于
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由 Frederic Bastien 提交于
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- 22 7月, 2011 5 次提交
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由 Razvan Pascanu 提交于
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由 Razvan Pascanu 提交于
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由 Razvan Pascanu 提交于
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由 Razvan Pascanu 提交于
The test checks the depricated return_steps
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由 Razvan Pascanu 提交于
This will help during debugging
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