Training and Inference are two major processes of Machine Learning and is deeply connected.
Training is the process by which we generate various parameters such as weights and biases which are used in a particular Machine Learning model which is focused on a particular task such as object detection.
Read this article to understand the difference between Training and Inference
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This is a companion discussion topic for the original entry at http://iq.opengenus.org/training-vs-inference/