Exporting model as JSON file | Mastering Neural Networks in Go from Scratch – Part 67

In this tutorial, we will learn how to save a neural network model into a JSON file in Go. Saving a model into a JSON file is important as it allows us to save the model’s configuration and parameters for later use or deployment.

To get started, let’s assume that we have already built a neural network model using Go. If you need help with creating a neural network model from scratch in Go, you can refer to the previous tutorials in this series.

First, we need to create a struct in Go that represents the neural network model. This struct should include the necessary information about the model, such as the number of layers, the size of each layer, the type of activation function used, and the weights and biases of each layer.

Here’s an example of a struct representing a simple neural network model:

type NeuralNetwork struct {
    Layers    []int
    ActivFunc string
    Weights   [][][]float64
    Biases    [][]float64
}

Next, we need to write a function that will save the model into a JSON file. The function will take the neural network model struct as input and write it into a JSON file.

Here’s an example of a function that saves the model into a JSON file:

func SaveModel(model NeuralNetwork, filename string) error {
    jsonData, err := json.Marshal(model)
    if err != nil {
        return err
    }

    err = ioutil.WriteFile(filename, jsonData, 0644)
    if err != nil {
        return err
    }

    return nil
}

In the function above, we first marshal the neural network model struct into JSON format using the json.Marshal function. Then, we write the JSON data into a file using the ioutil.WriteFile function.

To save the model into a JSON file, we simply need to call the SaveModel function with the neural network model struct and the filename as arguments. For example:

model := NeuralNetwork{
    Layers:    []int{784, 128, 10},
    ActivFunc: "relu",
    Weights:   ... // Initialize weights here
    Biases:    ... // Initialize biases here
}

err := SaveModel(model, "model.json")
if err != nil {
    fmt.Println("Error saving model:", err)
    return
}

fmt.Println("Model saved successfully!")

Now, the neural network model has been successfully saved into a JSON file named model.json. We can later load this model back into memory by reading the JSON file and unmarshaling it into a neural network model struct.

In this tutorial, we learned how to save a neural network model into a JSON file in Go. Saving the model into a JSON file is important for storing the model’s configuration and parameters for later use or deployment. We also wrote a function that saves the model into a JSON file and demonstrated how to use it.