PerceptiLabs Blog

Four Common Types of Neural Network Layers (and When to use Them)

May 20, 2020 1:04:11 PM / by PerceptiLabs posted in Machine Learning, Model Management, MLOps, Explainability, Model building, Modeling Tool, Hyperparameters

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Neural networks (NN) are the backbone of many of today's machine learning (ML) models, loosely mimicking the neurons of the human brain to recognize patterns from input data. As a result, numerous types of neural network topologies have been designed over the years, built using different types of neural network layers.

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Teaching Your AI to do Powerful Things the Easy Way, with PerceptiLabs and Red Hat

Apr 3, 2020 9:18:16 AM / by PerceptiLabs posted in Machine Learning, Automation, Model Management, MLOps, Red Hat, OpenShift

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MLOps: An “Ops” Just for Machine Learning

Feb 10, 2020 8:01:00 PM / by PerceptiLabs posted in Model Management, Machine Learning Workflow, MLOps, Explainability

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If you’ve been around software development for a while, you’ve undoubtedly come across numerous terms appended with the word “Ops”, such as “DevOps”, “TestOps”, or “DataOps”. Of these, “DevOps” (short for “development and information-technology operations”) is probably the most well-known. It refers to a set of software development practices that promote automation and cross collaboration between teams of different disciplines, to reduce software delivery times while achieving a desired level of quality. 

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