Technical Information - PerceptiLabs

Tips to Steer Your Developer Career Towards Machine Learning

Excited by the hype around machine learning (ML)? Perhaps you’d like to transition into the field but you’re not sure where to start. Learn more here.

Machine Learning

Don’t Start your Model from Scratch - Use Transfer Learning

Did you ever wish you could use one of your existing models as a starting point to solve a similar problem? Then you might want to try Transfer Learning. Transfer learning means to use or adapt an existing machine learning (ML) model for a new purpose and helps get you

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An Overview of TensorFlow and how PerceptiLabs Makes it Easier

In A New Visual Approach to Machine Learning Modeling, we talked about how TensorFlow is one of the most popular machine learning (ML) framework today, but it’s not necessarily an easy one for beginners to start building ML models. That's why we decided to create a GUI on top

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A New Visual Approach to Machine Learning Modeling

Machine learning (ML) tools are exploding and specializing, giving users the option to build and manage their ML models in different ways ranging from writing code, relying on frameworks to using automated solutions, each with their pros and cons. The good news is, PerceptiLabs has developed a next-generation ML tool

Machine Learning

Five Common Hyperparameters (and how to set them in PerceptiLabs)

Creating a machine learning (ML) model involves a lot of variables such as deciding what data to analyze, which approach to employ (e.g., a neural network), and what type of result to generate (e.g., probabilities, classifications, etc.). The key parts of an ML model that define its structure

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