Merge pull request #5031 from nouiz/doc

.mailmap

@@ -132,6 +132,7 @@ Mehdi Mirza <memirzamo@gmail.com> memimo <memirzamo@gmail.com>
 Moslem Kazemi <moslemk@gmail.com> Moslem Kazemi <moslemk@users.noreply.github.com>
 Moslem Kazemi <moslemk@gmail.com> Mo <moslemk@gmail.com>
 Nicolas Ballas <ballas.n@gmail.com> Kcub <ballas@lrde.epita.fr>
+Nicolas Ballas <ballas.n@gmail.com> ballasn <ballas.n@gmail.com>
 Nicolas Boulanger-Lewandowski <nicolas_boulanger@hotmail.com> boulanni <nicolas_boulanger@hotmail.com>
 Nicolas Pinto <pinto@alum.mit.edu> Nicolas Pinto <nicolas.pinto@gmail.com>
 Olivier Breuleux <breuleux@gmail.com> Olivier Breuleux <breuleuo@iro.umontreal.ca>
@@ -171,6 +172,7 @@ Sebastian Berg <sebastian@sipsolutions.net> seberg <sebastian@sipsolutions.net>
 Sebastien Jean <jeasebas@iro.umontreal.ca> sebastien <jeasebas@iro.umontreal.ca>
 Sebastien Jean <jeasebas@iro.umontreal.ca> sebastien-j <jeasebas@iro.umontreal.ca>
 Sebastien Jean <jeasebas@iro.umontreal.ca> sebastien-j <sebastien.jean@mail.mcgill.ca>
+Simon Lefrancois <simon.lefrancois@umontreal.ca> slefrancois <simon.lefrancois@umontreal.ca>
 Sina Honari <honaris@iro.umontreal.ca> SinaHonari <sina2222@gmail.com>
 Sina Honari <honaris@iro.umontreal.ca> Sina Honari <honaris@eos21.iro.umontreal.ca>
 Søren Kaae Sønderby <skaaesonderby@gmail.com> skaae <skaaesonderby@gmail.com>

doc/library/sandbox/cuda/dnn.txt

@@ -150,7 +150,7 @@ Functions
 
 .. automodule:: theano.sandbox.cuda.dnn
    :noindex:
-   :members: dnn_conv, dnn_pool
+   :members: dnn_conv, dnn_pool, dnn_conv3d, dnn_gradweight, dnn_gradinput, dnn_pool, dnn_batch_normalization_train, dnn_batch_normalization_test
 
 Convolution Ops
 ===============

doc/library/tensor/nnet/nnet.txt

@@ -18,10 +18,12 @@
 - Others
    - :func:`softplus`
    - :func:`softmax`
+   - :func:`softsign`
    - :func:`relu() <theano.tensor.nnet.relu>`
    - :func:`binary_crossentropy`
    - :func:`.categorical_crossentropy`
    - :func:`h_softmax() <theano.tensor.nnet.h_softmax>`
+   - :func:`confusion_matrix <theano.tensor.nnet.confusion_matrix>`
 
 .. function:: sigmoid(x)
 
@@ -111,6 +113,12 @@
        W = T.dmatrix('W')
        y = T.nnet.softplus(T.dot(W,x) + b)
 
+.. function:: softsign(x)
+
+   Return the elemwise softsign activation function
+   :math:`\\varphi(\\mathbf{x}) = \\frac{1}{1+|x|}`
+
+
 .. function:: softmax(x)
 
    Returns the softmax function of x:

theano/sandbox/cuda/dnn.py

@@ -1221,7 +1221,7 @@ def dnn_conv3d(img, kerns, border_mode='valid', subsample=(1, 1, 1),
     :param algo: convolution implementation to use. Only 'none' is implemented
         for the conv3d. Default is the value of
         :attr:`config.dnn.conv.algo_fwd`.
-    :param precision : dtype in which the computation of the convolution
+    :param precision: dtype in which the computation of the convolution
         should be done. Possible values are 'as_input_f32', 'as_input',
         'float16', 'float32' and 'float64'. Default is the value of
         :attr:`config.dnn.conv.precision`.