machine learning

I became very intrigued with Metaflow because of its DAG (Directed Acyclic Graph) approach to building ML models, which seems rather intuitive when you think of a machine learning model as a series of processing steps. However, I did have one big concern when it came to Metaflow – production deployment. As it currently stands, production deployment with Metaflow seems highly coupled to AWS. This is a problem to me, because my personal preference is to self-host using my own dev-ops setup....

I have been using PyTorch extensively in some of my projects lately, and one of the things that has confused me was how to go about implementing a hidden layer of Rectified Linear Units (ReLU) using the nn.ReLU() syntax. I was already using the functional F.relu() syntax, and wanted to move away from this into a more OOP-approach. The following is a straightforward example on the way to convert an F....