Add backpropagation and first round of learning

[handwriting-recognition.git] / README.md

diff --git a/README.md b/README.md
index 96974c990119387ee722e8f5d809536d0885233c..760002f714dd303e786e5d55989023d9a15d2ede 100644 (file)
--- a/README.md
+++ b/README.md
@@ -49,3 +49,21 @@ output vector of first image: [    0.         52766.88424917     0.
 classification of first image: 1 with confidence 52766.88424917019; real label 5
 correctly recognized images after initialization: 10.076666666666668%
 ```
+
+ - Add backpropagation algorithm and run a first training round. This is slow, as expected:
+ ```
+ $ time ./train.py
+output vector of first image: [    0.         52766.88424917     0.             0.
+ 14840.28619491 14164.62850135     0.          7011.882333
+     0.         46979.62976127]
+classification of first image: 1 with confidence 52766.88424917019; real label 5
+correctly recognized images after initialization: 10.076666666666668%
+round #0 of learning...
+./train.py:18: RuntimeWarning: overflow encountered in exp
+  return 1 / (1 + np.exp(-x))
+correctly recognized images: 14.211666666666666%
+
+real   0m37.927s
+user   1m19.103s
+sys    1m10.169s
+```