cge 0.1.1

An implementation of the Common Genetic Encoding (CGE) for directly-encoded neural networks.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87

{
  "version": "1",
  "network": {
    "metadata": {
      "description": "A network with multiple outputs."
    },
    "activation": "bentidentity",
    "genome": [
      {
        "kind": "neuron",
        "id": 0,
        "num_inputs": 2,
        "weight": 0.2
      },
      {
        "kind": "neuron",
        "id": 1,
        "num_inputs": 2,
        "weight": 0.5
      },
      {
        "kind": "input",
        "id": 0,
        "weight": 0.4
      },
      {
        "kind": "input",
        "id": 1,
        "weight": 0.8
      },
      {
        "kind": "input",
        "id": 1,
        "weight": 0.6
      },
      {
        "kind": "neuron",
        "id": 2,
        "num_inputs": 3,
        "weight": 0.4
      },
      {
        "kind": "forwardjumper",
        "source_id": 1,
        "weight": 0.7
      },
      {
        "kind": "input",
        "id": 1,
        "weight": 0.5
      },
      {
        "kind": "input",
        "id": 0,
        "weight": 0.6
      },
      {
        "kind": "neuron",
        "id": 3,
        "num_inputs": 2,
        "weight": 0.9
      },
      {
        "kind": "forwardjumper",
        "source_id": 1,
        "weight": 0.2
      },
      {
        "kind": "neuron",
        "id": 4,
        "num_inputs": 2,
        "weight": 0.3
      },
      {
        "kind": "input",
        "id": 1,
        "weight": 0.6
      },
      {
        "kind": "bias",
        "value": 3.0
      }
    ],
    "recurrent_state": null,
    "extra": null
  }
}