README.org in ruby_brain-0.1.0 vs README.org in ruby_brain-0.1.1

@@ -36,21 +36,21 @@
    All dataset used for training/test/predicate must be 2 dimension array structure.
    1st dimension indicates samples and 2nd dimension is used for features.
 
 *** example "AND"
     Now we assume that we train a network to operate as "AND operator"
-    The true table of "AND operator" is as below.
+    The trueth table of "AND operator" is as below.
     In short, when both "in 1" and "in 2" are 1, the "out" should be 1
     and 0 should be output for other input combinations.
     
     | in 1 | in 2 | out |
     |------+------+-----|
     | 0    | 0    | 0   |
     | 0    | 1    | 0   |
     | 1    | 0    | 0   |
     | 1    | 1    | 1   |
 
-    In this situation, you can prepare the dataset lake following Ruby array.
+    In this situation, you can prepare the dataset like following Ruby array.
     #+BEGIN_SRC ruby
       training_input_set = [
         [0, 0],
         [0, 1],
         [1, 0],