Neural Network in GO
I needed a Neural Network for my NEAT library written in GO. schulyer has a nice neural network library in Go already (https://github.com/schuyler/neural-go) but it doesn't allow for the all the flexibility I need for NEAT.
You can use this library in 2 ways. First, you can create a new Network simply by specifying the number of each type of node:
numInputs := 2
numHidden := 3
numOutput := 1
network := neural.NewNetwork(numInputs, numHidden, numOutput)
inputs := []float64 {1.234, -5.678}
outputs := network.Activate(inputs)This will create a new network including a bias node. The bias and inputs will be fully connected to the hidden nodes. Likewise, the bias and hidden nodes will be full connected to the output nodes.
You can also build a network manually. This will allow you to select different activation functions for your nodes or to be more creative with how nodes are connected. To use this library in this manner, first construct a few Nodes
bias := neural.NewNode(neural.DIRECT, neural.BIAS)
in1 := neural.NewNode(neural.DIRECT, neural.INPUT)
in2 := neural.NewNode(neural.DIRECT, neural.INPUT)
hid1 := neural.NewNode(neural.SIGMOID, neural.HIDDEN)
out1 := neural.NewNode(neural.SIGMOID, neural.OUTPUT)Alternatively, you could construct the same nodes by
bias := neural.NewDirectNode(neural.BIAS)
in1 := neural.NewDirectNode(neural.INPUT)
in2 := neural.NewDirectNode(neural.INPUT)
hid1 := neural.NewSigmoidNode(neural.HIDDEN)
out1 := neural.NewSigmoidNode(neural.OUTPUT)Then construct a few Connections
conn1 := neural.NewConnection(bias, hid1, rand.Float64() * 2 - 1)
conn2 := neural.NewConnection(in1, hid1, rand.Float64() * 2 - 1)
conn3 := neural.NewConnection(in2, hid1, rand.Float64() * 2 - 1)
conn4 := neural.NewConnection(bias, out1, rand.Float64() * 2 - 1)
conn5 := neural.NewConnection(hid1, out1, rand.Float64() * 2 - 1)Then pull it all together
network := &neural.Network{} // Create a empty Network
network.AddNode(bias)
network.AddNode(in1)
network.AddNode(in2)
network.AddNode(hid1)
network.AddNode(out1)
network.AddConnection(conn1) // It is important to add the connections
network.AddConnection(conn2) // in the order they should execute
network.AddConnection(conn3)
network.AddConnection(conn4)
network.AddConnection(conn5)Finally, run the Network
inputs := []float64 {1.234, -5.678}
outputs := network.Activate(inputs)Copyright (c) 2013, Brian Hummer (brian@boggo.net) All rights reserved.
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