Artificial Intelligence is often described as a “black box”; we plug inputs in and the AI model gives us an output back, but we don’t have an easy way to understand how the model came to produce that output. The process to train AI generally goes like this - we submit inputs into a computer, train the computer to obtain an AI model, and use this model to predict our outputs. But how is that model actually working to make its conclusions?
http://dlvr.it/S3B9TQ
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