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Proof reading, variable inconsistency fix #190

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Merged
merged 3 commits into from
Jun 19, 2017
Merged

Proof reading, variable inconsistency fix #190

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bb2aa41
typo and space fix
Jun 7, 2017
8eb21da
typo on lenet page
Jun 7, 2017
147cb2e
typo/inconsistency in spelling of corruption
Jun 7, 2017
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typo and space fix
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Philip Kirkbride committed Jun 7, 2017
commit bb2aa41171de24c48315578fd41f682e07284eca
4 changes: 2 additions & 2 deletions doc/mlp.txt
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Expand Up @@ -90,8 +90,8 @@ The set of parameters to learn is the set :math:`\theta =
\{W^{(2)},b^{(2)},W^{(1)},b^{(1)}\}`. Obtaining the gradients
:math:`\partial{\ell}/\partial{\theta}` can be achieved through the
**backpropagation algorithm** (a special case of the chain-rule of derivation).
Thankfully, since Theano performs automatic differentation, we will not need to
cover this in the tutorial !
Thankfully, since Theano performs automatic differentiation, we will not need to
cover this in the tutorial!


Going from logistic regression to MLP
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