Flappy Bird Machine Learning

// Take the matrix, and do a forward pass through the weights
func (nn *NeuralNetwork) Predict(inputs []float64) float64 {
	// Go through the hidden layer and sum the weights
	hidden := make([]float64, nn.HiddenSize)

	for i := range nn.HiddenSize {
		sum := 0.0
		for j := range nn.InputSize {
			sum += inputs[j] * nn.Weights1[j][i]
		}

		hidden[i] = sigmoid(sum)
	}

	// Computer output layer activation
	output := 0.0
	for i := range nn.HiddenSize {
		output += hidden[i] * nn.Weights2[i][0]
	}

	// Probability of flapping
	return sigmoid(output)
}