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The following 26 pages link to this file:
- MISC-TN-010: Using NXP eIQ Machine Learning Development Environment with Mito8M SoM
- MISC-TN-011: Running an Azure-generated TensorFlow Lite model on Mito8M SoM using NXP eIQ
- MISC-TN-015: Proof-of-Concept of an industrial, high-frame-rate video recording/streaming system
- MISC-TN-022: Advanced controller for DMX / RDM lighting applications
- ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 1
- ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 2
- ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
- ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
- ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 5
- ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 6
- ML-TN-002 - Real-time Social Distancing estimation
- ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1
- ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 2
- ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 3
- ML-TN-004 — Machine Learning, spectroscopy, and materials classification
- ML-TN-005 — Real-time Social Distancing and video streaming on Orca SBC
- ML-TN-006 — Keyword Spotting and Asymmetric Multiprocessing on Orca SBC
- ML-TN-007 — AI at the edge: exploring Federated Learning solutions
- Machine Learning Services
- SBCX-TN-005: Using TensorFlow to implement a Deep Learning image classifier based on Azure Custom Vision-generated model
- ToloMEO Embedded Assistant/ToloMEO Machine Learning Module
- Template:AppliesToMachineLearning
- Template:AppliesTo Machine Learning AN
- Template:AppliesTo Machine Learning CH
- Template:AppliesTo Machine Learning TN
- Template:AppliesTo Machine Learning WP