Lindo St. AngelinTowards Data ScienceInspecting Neural Network Model Performance for Edge DeploymentA detailed look at quantizing CNN- and transformer-based models and techniques to measure and understand their efficacy on edge hardwareJan 51Jan 51
Lindo St. AngelMastering TensorFlow Lite Conversion for Energy Disaggregation Models on Edge DevicesThis article provides an exploration of TensorFlow Lite quantization strategies for converting Keras models to TensorFlow Lite format…Nov 19, 2023Nov 19, 2023
Lindo St. AngelinTowards Data ScienceEnergy Management Using Real-Time Non-Intrusive Load MonitoringHow to build a key component of sustainable and clean energy using machine learning at the edgeJun 28, 20222Jun 28, 20222
Lindo St. AngelinTowards Data ScienceHow to Implement Deep Neural Networks for Radar Image ClassificationJun 6, 20211Jun 6, 20211
Lindo St. AngelinTowards Data ScienceUsing Stochastic Gradient Descent to Train Linear ClassifiersYou can tame challenges with data sets that have large numbers of training examples or featuresDec 14, 2020Dec 14, 2020
Lindo St. AngelinTowards Data ScienceTeaching Radar to Understand the HomeUse self-supervised learning to generate data sets for radar-based human, pet and object detectionJun 1, 20203Jun 1, 20203
Lindo St. AngelA Method to Achieve Work–life balanceSeek it over the long-term but don’t always expect it. You and your leader both play a roleFeb 21, 2020Feb 21, 2020
Lindo St. AngelinTowards Data ScienceBuilding a Deep Learning Person ClassifierAccurately identify images of people with and without facesFeb 19, 2020Feb 19, 2020
Lindo St. AngelinTowards Data ScienceUsing Keras On Google’s Edge TPUUsing Keras is a great way to quickly understand and be productive using deep neural network models. Currently, the Keras API does not…Jan 25, 20202Jan 25, 20202
