Added FNN Tutorial

docs/tutorials/FNN_MNIST.rst

@@ -0,0 +1,51 @@
+.. _FNN_MNIST:
+
+Feed Forward Neural Network on MNIST
+==========================================================
+
+Example for training a Feed Forward Neural Network on the MNIST handwritten digit dataset.
+
+
+Results
+***********
+
+The code_ given below produces the following output that is quite similar to the results produced by an RBM.
+
+
+Training
+1 	0.1 	0.0337166666667 	0.0396
+2 	0.1 	0.023 	0.0285
+3 	0.1 	0.0198666666667 	0.0276
+4 	0.1 	0.0154 	0.0264
+5 	0.1 	0.01385 	0.0239
+6 	0.1 	0.01255 	0.0219
+7 	0.1 	0.012 	0.0229
+8 	0.1 	0.00926666666667 	0.0207
+9 	0.1 	0.0117 	0.0237
+10 	0.1 	0.00881666666667 	0.0214
+11 	0.1 	0.007 	0.0191
+12 	0.1 	0.00778333333333 	0.0199
+13 	0.1 	0.0067 	0.0183
+14 	0.1 	0.00666666666667 	0.0194
+15 	0.1 	0.00665 	0.0197
+16 	0.1 	0.00583333333333 	0.0197
+17 	0.1 	0.00563333333333 	0.0193
+18 	0.1 	0.005 	0.0181
+19 	0.1 	0.00471666666667 	0.0186
+20 	0.1 	0.00431666666667 	0.0191
+
+Showing the Epoch / Learning Rate / Training Error / Test Error
+
+See also `RBM_MNIST_big <RBM_MNIST_big.html#RBM_MNIST_big>`__.
+
+.. _code:
+
+
+Source code
+***********
+
+.. figure:: images/download_icon.png
+   :scale: 20 %
+   :target: https://github.com/MelJan/PyDeep/blob/master/examples/FNN_MNIST.py
+
+.. literalinclude:: ../../examples/AFNN_MNIST.py