init

connection.py

@@ -0,0 +1,23 @@
+import random
+
+class Connection:
+    def __init__(self, in_, out_):
+        self.weight = random.uniform(-1.0, 1.0) 
+        self.in_ = in_
+        self.out_ = out_
+        self.value = 0.0
+
+    def transfer(self, value:float):
+        self.value = value
+
+    def adjust(self, delta:float, learning_rate:float):
+        old_weight = self.weight
+        
+        gradient = delta * self.value
+        self.weight += learning_rate * gradient
+
+        if self.in_ is None:
+            return
+
+        error_for_prev = delta * old_weight
+        self.in_.adjust(error_for_prev, learning_rate)