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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AutoML
DL or AI solutions are not limited to building cutting-edge accurate models in Jupyter Notebook when it comes to industrial usage. There are several steps in the formation of AI solutions, beginning with collecting raw data, converting the data into a format that can be used with predictive models, creating predictions, building an application around the model, and monitoring and updating the model in production. AutoML aims to automate this process by automating the pre-deployment tasks. Often, AutoML is mostly about orchestrating the data and Bayesian hyperparameter optimization. AutoML only sometimes means a fully automated learning pipeline.
One famous library available for AutoML is provided by H2O.ai and it is called H2O.AutoML ...
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