February 2018
Intermediate to advanced
450 pages
11h 27m
English
Content preview from Deep Learning By Example
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Knowledge base/dataset
As we mentioned earlier, we need a historical base of data that will be used to teach the learning algorithm about the task that it's supposed to do later. But we also need another dataset for testing its ability to perform the task after the learning process. So to sum up, we need two types of datasets during the learning process:
- The first one is the knowledge base where we have the input data and their corresponding labels such as the fish images and their corresponding labels (opah or tuna). This data will be fed to the learning algorithm to learn from it and try to discover the patterns/trends that will help later on for classifying unlabeled images.
- The second one is mainly for testing the ability of the model ...
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