PerceptiLabs Blog

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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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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PerceptiLabs' Top 5 Open Source Datasets for Machine Learning

Apr 22, 2020 3:25:08 PM / by PerceptiLabs posted in Machine Learning, Modeling Tool, datasets

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Those who are developing machine learning (ML) models or just getting into ML for the first time have it good, because never before have so many open source datasets been freely-available to get you started. 

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