“Hey Facebook, What Type of Dog Is That?” Adding ML to Messenger

Convolutional Neural Networks (CNNs) provide a powerful mechanism for image classification, but building and training them can be challenging. The ML.NET TensorFlow library makes it easier to build and train CNNs in C# using ASP.NET Core applications. This tutorial demonstrates how to create an ML.NET TensorFlow neural network to recognize different types of dogs, train the model with images, and use a messaging API to classify incoming images and send feedback to users. The application uses a web server to receive messages from users, classify them using the trained model, and send back a response. To test the application, the authors used ngrok to expose the port to the internet and register webhooks with Nexmo's Messages API.

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