What's the Difference Between Deep Learning Training and Inference? The Official NVIDIA Blog

This is the second of a multi-part series explaining the fundamentals of deep learning by long-time tech journalist Michael Copeland. That's how to think about deep neural networks going through the "training" phase. Neural networks get an education for the same reason most people do -- to learn to do a job. More specifically, the trained neural network is put to work out in the digital world using what it has learned -- to recognize images, spoken words, a blood disease, or suggest the shoes someone is likely to buy next, you name it -- in the streamlined form of an application. This speedier and more efficient version of a neural network infers things about new data it's presented with based on its training.