Neural Network Vectorization

From Ufldl

Jump to: navigation, search
(Sparse autoencoder)
m (Fixed tt markup)
Line 137: Line 137:
</syntaxhighlight>  
</syntaxhighlight>  
-
Notice that the sparsity_delta is the same regardless of the example we are processing.  
+
Notice that the <tt>sparsity_delta</tt> is the same regardless of the example we are processing.  
Recall that when we vectorizing the gradient computations, <tt>delta2</tt> is replaced with matrices. Thus, to vectorize the above computations, we can simply add <tt>sparsity_delta</tt> (using <tt>repmat</tt>) while computing the <tt>delta2</tt> matrices.
Recall that when we vectorizing the gradient computations, <tt>delta2</tt> is replaced with matrices. Thus, to vectorize the above computations, we can simply add <tt>sparsity_delta</tt> (using <tt>repmat</tt>) while computing the <tt>delta2</tt> matrices.

Revision as of 00:50, 23 April 2011

Personal tools