Add softmaxPredict

Author: danluu

cnn_exercise/softmaxPredict.m

@@ -0,0 +1,32 @@
+function [pred] = softmaxPredict(softmaxModel, data)
+
+% softmaxModel - model trained using softmaxTrain
+% data - the N x M input matrix, where each column data(:, i) corresponds to
+%        a single test set
+%
+% Your code should produce the prediction matrix 
+% pred, where pred(i) is argmax_c P(y(c) | x(i)).
+ 
+% Unroll the parameters from theta
+theta = softmaxModel.optTheta;  % this provides a numClasses x inputSize matrix
+pred = zeros(1, size(data, 2));
+
+%% ---------- YOUR CODE HERE --------------------------------------
+%  Instructions: Compute pred using theta assuming that the labels start 
+%                from 1.
+
+
+
+size(pred) %   1 10000
+size(data) % 784 10000
+size(theta)%  10     8
+
+p = theta*data;
+[junk, idx] = max(p, [], 1);
+
+pred = idx
+
+% ---------------------------------------------------------------------
+
+end
+