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Merge pull request lisa-lab#80 from JackKelly/master
small typo fix; and remove gender-specific phrase.
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Diff for: doc/dA.txt

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@@ -126,7 +126,7 @@ signal:
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.. literalinclude:: ../code/dA.py
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:pyobject: dA.get_reconstructed_input
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And using these function we can compute the cost and the updates of
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And using these functions we can compute the cost and the updates of
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one stochastic gradient descent step :
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.. literalinclude:: ../code/dA.py
@@ -466,7 +466,7 @@ since we neglect the biases and plot the weights up to a multiplicative
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constant (weights are converted to values between 0 and 1).
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To plot our filters we will need the help of ``tile_raster_images`` (see
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:ref:`how-to-plot`) so we urge the reader to familiarize himself with it. Also
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:ref:`how-to-plot`) so we urge the reader to study it. Also
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using the help of the Python Image Library, the following lines of code will
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save the filters as an image :
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