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
Transparency 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
Transparency 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
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
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”
