How To Build a Fraud Detection Model in Java Using Deeplearning4J
Learn how to combine neural networks and scalable data management to build a real-world fraud detection system in Java! This tutorial uses Deeplearning4J to train a neural network and MongoDB for efficient transaction data management. Follow along as we preprocess customer transaction data, train a model to spot fraud, and integrate MongoDB for scalability. Perfect for Java developers looking to dive into AI and build production-ready solutions.
Author: Tim Kelly