Five Factors That Make Deep Learning Different - Go Deep Baby!
Forrester IT
MAY 16, 2017
Data scientists start with a labeled data set to train a model using an algorithm and, hopefully, end up with a model that is accurate enough at predicting the labels of new data that is run through the model. Once they train the model, developers can use it within applications to probabilistically identify objects in a new image.
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