👾 my old deep learning notebooks (e.g., tensorflow examples, caffee, deep art, numpy)
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Machine Learning Pipelines

In this repository we cover resources for deploying Machine learning
in production environments, a task that includes data sourcing, data ingestion, data 
transformation, pre-processing data for use in training, training a model, and hosting 
the model. 

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