Model Management - PerceptiLabs

Venture Beat: Getting inside the head of a machine learning scientist

We were excited to be featured in Venture Beat, in their Article titled: Getting inside the head of a machine learning scientist. Check it out to see how PerceptiLabs allows you to visualize what data scientists see when they are building a machine learning model. https://venturebeat.com/2020/10/

Machine Learning

Exploring Generative Adversarial Networks (GANs)

A generative adversarial network (GAN) is a powerful approach to machine learning (ML). At a high level, a GAN is simply two neural networks that feed into each other. One produces increasingly accurate data while the other gradually improves its ability to classify such data. In this blog we'll dive

Transparency

Join us at Red Hat's AI/ML: Smart apps, easy delivery, fast platform webinar series

https://www.brighttalk.com/webinar/build-a-machine-learning-model-with-transparencyWe’re excited to announce we’ll be presenting a session at the upcoming Red Hat webinar series AI/ML: Smart apps, easy delivery, fast platform on Wednesday, June 17. This webinar series will provide a variety of perspectives on driving innovation by simplifying the

Machine Learning

PerceptiLabs Releases Free Source Code for Our Machine Learning Handbook

Here at PerceptiLabs we love exploring all sorts of machine learning (ML) approaches. And if you've poked around our site in the last little while, you may have come across our Machine Learning Handbook. It's a free resource that you can download and use to become more familiar with approaches

Machine Learning

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

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

Machine Learning

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

PerceptiLabs is proud to announce our partnership with Red Hat, for our "Enterprise" version of our visual machine learning modeling tool. Through this partnership, our enterprise customers can install PerceptiLabs to run on either their on-premise or cloud-based deployments of the Red Hat OpenShift Container Platform, which hosts an ecosystem

Machine Learning

A Look at PerceptiLabs’ Browser-Based Architecture

During our initial development of PerceptiLabs Beta, we generated our visual modeling tool as a native, platform-specific executable for Windows, Mac, and Linux. We recently switched to a new “browser-based” version that runs a local copy of our kernel on your machine. So, we thought we’d take a few

Model Management

MLOps: An “Ops” Just for Machine Learning

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