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An Overview of TensorFlow and how PerceptiLabs Makes it Easier

Nov 18, 2020 3:43:21 PM / by PerceptiLabs posted in Transparency, Machine Learning, Technical Information, Explainability, Modeling Tool, datasets, TensorFlow

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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. 

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Today's Top Four Machine Learning Modeling Challenges and how PerceptiLabs Solves Them

Nov 10, 2020 4:15:17 PM / by PerceptiLabs posted in Machine Learning, Modeling Tool, datasets, visual modeling tool, TensorFlow, Keras, GUI for TensorFlow

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Machine learning (ML) modeling is challenging – we know from experience! From wrangling data to choosing an appropriate ML algorithm, and then debugging and iterating on it, it can be a daunting task to create or update your model.

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A New Visual Approach to Machine Learning Modeling

Oct 8, 2020 3:08:45 PM / by PerceptiLabs posted in Transparency, Machine Learning, Technical Information, Explainability, Modeling Tool

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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 with our visual modeler that makes model building easier, faster, and accessible to a wider spectrum of users, whether you are an expert or beginner.

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Using ResNets to Detect Anomalies in Industrial IoT Textile Production

Oct 8, 2020 3:08:16 PM / by PerceptiLabs posted in Machine Learning, MLOps, Model building, datasets, ResNet, residual block

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Machine learning models for image classification often use convolutional neural networks (CNNs) to extract features from images while employing max-pooling layers to reduce dimensionality. The goal is to extract increasingly higher-level features from regions of the image, to ultimately make some kind of prediction such as an image classification.

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

Oct 6, 2020 12:51:32 PM / by PerceptiLabs posted in Machine Learning, Media, Model Management, Explainability, Modeling Tool

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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.

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Announcing PerceptiLabs' October 2020 Silver 0.11 Release

Oct 6, 2020 7:24:12 AM / by PerceptiLabs posted in Machine Learning, MLOps, Model building, datasets, visual modeling tool, TensorFlow, AutoML

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PerceptiLabs is proud to announce the first major Silver release of our visual machine learning (ML) modeling tool, PerceptiLabs 0.11. Not only does this release candidate include a number of significant new features, functionality, and UI improvements, it also offers more stability than our past beta versions. Through these enhancements, PerceptiLabs is becoming the GUI for TensorFlow–you drag and drop the components, and PerceptiLabs generates the visualizations and TensorFlow code for you. 

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Exploring Generative Adversarial Networks (GANs)

Jun 10, 2020 9:21:58 AM / by PerceptiLabs posted in Machine Learning, Model Management, generative adversarial network, GAN, neural network

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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. 

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

Jun 4, 2020 9:48:48 AM / by PerceptiLabs posted in Transparency, Machine Learning, Model Management, Modeling Tool, Red Hat

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PerceptiLabs Releases Free Source Code for Our Machine Learning Handbook

May 20, 2020 1:16:57 PM / by PerceptiLabs posted in Machine Learning, Model Management, Model building, Modeling Tool

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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 like linear regression, decision trees, k-nearest neighbor, support vector machines (SVMs), clustering, and of course, neural networks.

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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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