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Artificial Intelligence and Deep Learning

Artificial Intelligence and Deep Learning

Developers should be prepared to integrate with and use their deep learning portfolio.  Before we get some scope on their API's and endpoints some background in deep learning (a specialized subset of machine learning concentrated on the "Greedy Layer-Wise Unsupervised Pretraining procedure" - Hinton, 2006 - University of Toronto) and the "Long Short-Term Memory model - Hochreiter and Schmidhuber 1997" will be required.

JIRAs

LOG-500: Machine Learning on ONAP Logs - streamed and bulk ML processingClosed

LOG-511: AWS Machine Learning RI for ONAP LogsClosed<