@@ -126,7 +126,7 @@ Context window
126126
127127Given a sentence i.e. an array of indexes, and a window size i.e. 1,3,5,..., we
128128need to convert each word in the sentence to a context window surrounding this
129- particular word. In details, we have::
129+ particular word. In details, we have:
130130
131131.. literalinclude:: ../code/rnnslu.py
132132 :start-after: start-snippet-1
@@ -235,37 +235,37 @@ The **hyperparameters** define the whole architecture:
235235* number of classes
236236* random seed + way to initialize the model
237237
238- It gives the following code::
238+ It gives the following code:
239239
240240.. literalinclude:: ../code/rnnslu.py
241241 :start-after: start-snippet-2
242242 :end-before: end-snippet-2
243243
244- Then we integrate the way to build the input from the embedding matrix::
244+ Then we integrate the way to build the input from the embedding matrix:
245245
246246.. literalinclude:: ../code/rnnslu.py
247247 :start-after: start-snippet-3
248248 :end-before: end-snippet-3
249249
250- We use the scan operator to construct the recursion, works like a charm::
250+ We use the scan operator to construct the recursion, works like a charm:
251251
252252.. literalinclude:: ../code/rnnslu.py
253253 :start-after: start-snippet-4
254254 :end-before: end-snippet-4
255255
256- Theano will then compute all the gradients automatically to maximize the log-likelihood::
256+ Theano will then compute all the gradients automatically to maximize the log-likelihood:
257257
258258.. literalinclude:: ../code/rnnslu.py
259259 :start-after: start-snippet-5
260260 :end-before: end-snippet-5
261261
262- Next compile those functions::
262+ Next compile those functions:
263263
264264.. literalinclude:: ../code/rnnslu.py
265265 :start-after: start-snippet-6
266266 :end-before: end-snippet-6
267267
268- We keep the word embeddings on the unit sphere by normalizing them after each update::
268+ We keep the word embeddings on the unit sphere by normalizing them after each update:
269269
270270.. literalinclude:: ../code/rnnslu.py
271271 :start-after: start-snippet-7
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