Tell us about your experience with neural networks. How do you use them in your work?

In my experience with neural networks in Go, I have used them for data processing tasks and automation of analytics. Although Go is not the most popular language for deep learning, there are libraries that allow integrating models or working with them via API.

Examples of usage:

• Deploying pre-trained models through REST API (e.g., TensorFlow Serving) and calling them from a Go application for classification or prediction.
• Using libraries such as Gorgonia to build and train simple neural networks directly in Go.
• Automating image or text processing with neural network models integrated into microservices in Go.

Example of calling a model via HTTP from Go:

resp, err := http.Post("http://model-server/predict", "application/json", bytes.NewBuffer(jsonData))
if err != nil {
    log.Fatal(err)
}
defer resp.Body.Close()
// Handling the prediction response

Thus, I mainly use neural networks in Go through integration with external services or lightweight libraries for specific tasks.