May 2020
Intermediate to advanced
404 pages
10h 52m
English
Content preview from Hands-On Python Deep Learning for the Web
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Batch forecasting
In this method, a number of predictions are made at once and stored on the server, ready to be fetched and used when the user needs them. However, as a static training method, this method allows training the model offline and so offers greater accuracy to the training, similar to web APIs.
In other words, batch forecasting can be understood as a batch version of web APIs; however, the predictions are not served by an API. Rather, the predictions are stored and fetched from a database.
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