Difference between revisions of "Google AIY Projects Program"
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[https://www.youtube.com/results?search_query=Google+AIY+Projects+Program+artificial+intelligence+deep+learning YouTube search...] | [https://www.youtube.com/results?search_query=Google+AIY+Projects+Program+artificial+intelligence+deep+learning YouTube search...] | ||
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* [[NVIDIA Jetson Nano]] | * [[NVIDIA Jetson Nano]] | ||
* [[DeepLens - deep learning enabled video camera]] | * [[DeepLens - deep learning enabled video camera]] | ||
| − | * [[Development]] | + | * [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]] |
| + | * [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless]] ... [[Hugging Face]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]] | ||
== Voice Kit == | == Voice Kit == | ||
Latest revision as of 21:50, 26 April 2024
YouTube search... ...Google search
- AIY Do-it-yourself artificial intelligence | Google
- Google unveils new tools to bolster AI hardware development | James Vincent - The Verge
- Machine learning models for AIY kits | AIY
- Raspberry Pi gets supercharged for AI by Google's Edge TPU Accelerator | Nick Heath
- Neural Compute Stick (NCS) | Intel
- Quantization-aware Model Training
- NVIDIA Jetson Nano
- DeepLens - deep learning enabled video camera
- Analytics ... Visualization ... Graphical Tools ... Diagrams & Business Analysis ... Requirements ... Loop ... Bayes ... Network Pattern
- Development ... Notebooks ... AI Pair Programming ... Codeless ... Hugging Face ... AIOps/MLOps ... AIaaS/MLaaS
Voice Kit
Vision Kit
Edge TPU Dev Board
A USB device that adds an Edge TPU coprocessor to your system. This small stick includes a USB Type-C socket that you can connect to any Linux-based system to perform accelerated ML inferencing. The casing includes mounting holes for attachment to host boards.
