init

network.py

@@ -0,0 +1,49 @@
+from neuron import Neuron
+from connection import Connection
+import random
+import json
+
+class Network():
+    def __init__(self):
+        self.layers = []
+
+    def build_layers(self, count:int, input_size:int, output_size:int, layer_size:int):
+
+        for layer in range(0, count):
+            self.layers.append([])
+
+            for _ in range(0, input_size if layer == 0 else output_size if layer == count - 1 else layer_size):
+                self.layers[layer].append(Neuron())
+
+
+    def _connect_layer(self, last_layer, current_layer):
+        for last_neuron in last_layer:
+            for current_neuron in current_layer:
+                connection = Connection(last_neuron, current_neuron)
+                last_neuron.connect_out(connection)
+                current_neuron.connect_in(connection)
+
+    def connect_layers(self):
+
+        for i in range(1, len(self.layers)):
+            last_layer = self.layers[i-1]
+            current_layer = self.layers[i]
+
+            self._connect_layer(last_layer, current_layer)
+
+    def fire(self, vec):
+
+        for l in range(0, len(self.layers)):
+            layer = self.layers[l]
+            for i in range(0, len(layer)):
+                neuron = layer[i]
+                neuron.calc(vec[i] if l == 0 else None)
+
+        output = []
+
+        for i in range(0, len(self.layers[-1])):
+            layer = self.layers[-1]
+            output.append(layer[i].value)
+
+        return output
+