How do you use neural networks in your work?

In working with Golang, neural networks are usually integrated through calls to external services or libraries, as the language itself does not have advanced built-in tools for deep learning. For example, models trained in Python with TensorFlow or PyTorch can be used, and called via REST API or gRPC from a Go application.

I also apply neural networks for tasks such as text classification, image processing, or predictions, where Go handles the high-performance part and user interaction, while neural networks are responsible for intelligent data processing.

An example of calling a model via HTTP from Go:

resp, err := http.Post("http://ml-service/predict", "application/json", bytes.NewBuffer(jsonData))
if err != nil {
    log.Fatal(err)
}
// handle response

Thus, Go acts as a link between neural network services and business logic.