GitHub / afondiel / Intro-to-On-Device-AI-Qualcomm
A comprehensive set of notes and resources for a crash course on deploying AI models on edge devices, provided by DeepLearningAI and taught by Krishna Sridhar from Qualcomm.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afondiel%2FIntro-to-On-Device-AI-Qualcomm
PURL: pkg:github/afondiel/Intro-to-On-Device-AI-Qualcomm
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 30.6 MB
Dependencies parsed at: Pending
Created at: 9 months ago
Updated at: 7 months ago
Pushed at: 8 months ago
Last synced at: 4 months ago
Topics: edge-ai, edge-computing, edge-ml, edge-vision, embedded-ai, embedded-ml, lightweight-models, on-device-ai, on-device-deep-learning, on-device-ml, qualcomm, smol-models