Primer on TensorFlow and how PerceptiLabs Makes it Easier - KDnuggets

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 of TensorFlow. With PerceptiLabs, beginners can get started building a model more quickly, and those with more experience can still dive into the code. Both types of users benefit from PerceptiLabs' rich set of visualizations that include the ability to see a model's architecture, experiment and see how parameter and code changes affect models in real time, and view a rich set of training and validation stats. Given that PerceptiLabs runs TensorFlow behind the scenes, we thought we'd walk through the framework so you can understand its basics, and how it is utilized by PerceptiLabs.