Category: Artificial Intelligence
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About Face Recognition ML Algorithms
Facial Recognition (FR) involves mapping an individual’s facial features mathematically and storing the data as a faceprint. This case study outlines the process of Exploratory Data Analysis (EDA) and performance QC analysis for ML/AI workflows using public-domain datasets and real-time webcam GUI. The study includes the use of SVM for FR, dataset splitting, ML model…
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AI-Driven Object Detection & Segmentation with Meta Detectron2 Deep Learning
The post introduces Detectron2, a powerful object detection and image recognition platform developed by Facebook AI Research (FAIR). It discusses the platform’s applications in computer vision research and production, as well as its capabilities such as panoptic segmentation and Densepose. The post also covers aspects of using Detectron2, including installation, model training, and inference, and…
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Multi-Label Keras CNN Image Classification of MNIST Fashion Clothing
Machine learning and deep learning are invaluable in optimizing supply chain operations in fashion retail. Even smaller retailers are leveraging ML algorithms to meet customer demands. Neural network models, particularly Convolution Neural Networks (CNN) are used to classify clothing images, like the Fashion-MNIST dataset, with high accuracy. Hyperparameter optimization using GridSearchCV and Nadam optimizer are…
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About MLOps
Machine Learning (ML), a subset of Artificial Intelligence, enables computers to learn from experience, improving tasks through performance measures. Deployed by businesses across sectors, ML powers various applications such as chatbots, decision support tools, fraud detection, etc. ML uses data analytics concepts like predictive and prescriptive algorithms, and techniques such as supervised, unsupervised, and deep…
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