examples/ocr.rb in neuro-0.4.2 vs examples/ocr.rb in neuro-0.4.3

@@ -40,11 +40,11 @@
   CHARACTERS = []
   ('A'..'Z').each_with_index do |char, number|
     vector = []
     7.times do |j|
       c = CHAR_BTIMAP[j][6 * number, 5]
-      vector += c.enum_for(:each_byte).map { |x| x == ?* ? 1.0 : -1.0 }
+      vector += c.split(//).map { |x| x == '*' ? 1.0 : -1.0 }
     end
     CHARACTERS << Character.new(char, number, vector)
   end
 
   def initialize
@@ -60,10 +60,10 @@
       @network.debug_step = 100
       max_error = 1.0E-5
       eta = 0.2
       max_count = CHARACTERS.size * 10
       count = max_count
-      until count < max_error
+      until count < max_count
         count = 0
         CHARACTERS.sort_by { rand }.each do |character|
           count += @network.learn(character.vector,
             make_result_vector(character.number), max_error, eta)
         end