You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: network.go
    path of file: ./repos/olivia/network
    
    the code of the file until where you have to start completion: package network

import (
	"encoding/json"
	"fmt"
	"math"
	"os"
	"time"

	"github.com/olivia-ai/olivia/locales"

	"github.com/gookit/color"
	"gopkg.in/cheggaaa/pb.v1"
)

// Network contains the Layers, Weights, Biases of a neural network then the actual output values
// and the learning rate.
type Network struct {
	Layers  []Matrix
	Weights []Matrix
	Biases  []Matrix
	Output  Matrix
	Rate    float64
	Errors  []float64
	Time    float64
	Locale  string
}

// LoadNetwork returns a Network from a specified file
func LoadNetwork(fileName string) *Network {
	inF, err := os.Open(fileName)
	if err != nil {
		panic("Failed to load " + fileName + ".")
	}
	defer inF.Close()

	decoder := json.NewDecoder(inF)
	neuralNetwork := &Network{}
	err = decoder.Decode(neuralNetwork)
	if err != nil {
		panic(err)
	}

	return neuralNetwork
}

// CreateNetwork creates the network b
    
func (network *Network) Train(iterations int) {
	// Initialize the start date
	start := time.Now()

	// Create the progress bar
	bar := pb.New(iterations).Postfix(fmt.Sprintf(
		" - %s %s %s",
		color.FgBlue.Render("Training the"),
		color.FgRed.Render(locales.GetNameByTag(network.Locale)),
		color.FgBlue.Render("neural network"),
	))
	bar.Format("(██░)")
	bar.SetMaxWidth(60)
	bar.ShowCounters = false
	bar.Start()

	// Train the network
	for i := 0; i < iterations; i++ {
		network.FeedForward()
		network.FeedBackward()

		// Append errors for dashboard data
		if i%(iterations/20) == 0 {
			network.Errors = append(
				network.Errors,
				// Round the error to two decimals
				network.ComputeError(),
			)
		}

		// Increment the progress bar
		bar.Increment()
	}

	bar.Finish()
	// Print the error
	arrangedError := fmt.Sprintf("%.5f", network.ComputeError())

	// Calculate elapsed date
	elapsed := time.Since(start)
	// Round the elapsed date at two decimals
	network.Time = math.Floor(elapsed.Seconds()*100) / 100

	fmt.Printf("The error rate is %s.\n", color.FgGreen.Render(arrangedError))
}