func NewNetwork(layers []int, randomProvider RandomProviding) Network {
	var network Network
	network.randomProvider = randomProvider
	network.neuronLayers = make([][]Neuron, len(layers))
	for layerIndex := 0; layerIndex < len(layers); layerIndex++ {
		network.neuronLayers[layerIndex] = make([]Neuron, layers[layerIndex])
		weightsCount := 0
		if layerIndex > 0 {
			weightsCount = layers[layerIndex-1]
		}
		for neuronIndex := 0; neuronIndex < layers[layerIndex]; neuronIndex++ {
			network.neuronLayers[layerIndex][neuronIndex] = network.newNeuron(weightsCount)
		}
	}
	return network
}
// NewNetwork creates Network with provided input, hidden and output
// layers' configuration. Weights are randomized.
NewNetwork creates Network with provided input, hidden and output
layers' configuration. Weights are randomized.
// NewNetwork creates Network with provided input hidden and output // layers ' configuration . Weights are randomized .
func NewNetwork(layers []int, randomProvider RandomProviding) Network {
	var network Network
	network.randomProvider = randomProvider
	network.neuronLayers = make([][]Neuron, len(layers))
	for layerIndex := 0; layerIndex < len(layers); layerIndex++ {
		network.neuronLayers[layerIndex] = make([]Neuron, layers[layerIndex])
		weightsCount := 0
		if layerIndex > 0 {
			weightsCount = layers[layerIndex-1]
		}
		for neuronIndex := 0; neuronIndex < layers[layerIndex]; neuronIndex++ {
			network.neuronLayers[layerIndex][neuronIndex] = network.newNeuron(weightsCount)
		}
	}
	return network
}
func NewNetwork ( layers [ ] int , randomProvider RandomProviding ) Network { var network Network network . randomProvider = randomProvider network . neuronLayers = make ( [ ] [ ] Neuron , len ( layers ) ) for layerIndex := 0 ; layerIndex < len ( layers ) ; layerIndex ++ { network . neuronLayers [ layerIndex ] = make ( [ ] Neuron , layers [ layerIndex ] ) weightsCount := 0 if layerIndex > 0 { weightsCount = layers [ layerIndex - 1 ] } for neuronIndex := 0 ; neuronIndex < layers [ layerIndex ] ; neuronIndex ++ { network . neuronLayers [ layerIndex ] [ neuronIndex ] = network . newNeuron ( weightsCount ) } } return network }
NewNetwork creates Network with provided input, hidden and output
layers' configuration.
NewNetwork creates Network with provided input hidden and output layers ' configuration .