Operácie

TinyML: Rozdiel medzi revíziami

Z SensorWiki

 
(18 medziľahlých úprav od rovnakého používateľa nie je zobrazených.)
Riadok 4: Riadok 4:
  
 
* Pete Warden: Getting started with TinyML https://youtu.be/soOM1F70Boc
 
* Pete Warden: Getting started with TinyML https://youtu.be/soOM1F70Boc
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** tinymlbook.com (prvych 6 kapitol zadarmo)
 
* Massimo Banzi: tiny machine learning with Arduino https://youtu.be/y7S_n1AT5sM
 
* Massimo Banzi: tiny machine learning with Arduino https://youtu.be/y7S_n1AT5sM
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** Tutorial https://github.com/arduino/ArduinoTensorFlowLiteTutorials
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* tinyML Youtube Channel https://youtube.com/tinyML
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* '''Massimo Banzi:''' ''[https://www.youtube.com/watch?v=mj2J445pdNc Easy TinyML with Arduino: taking advantage of ML right where things are happening]''. (video)
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** Recomended book https://www.oreilly.com/library/view/tinyml/9781492052036/
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** Tutorials https://github.com/arduino/ArduinoTensorFlowLiteTutorials
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** Hardware
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*** Arduino BLE Sense
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*** Arduino Portenta
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*** STM32
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*** Open MV + vyvojove prostredie  https://openmv.io/
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** AI for Embedded Systems by Fraunhofer aifes.ai https://www.ims.fraunhofer.de/en/Business-Unit/Industry/Industrial-AI/Artificial-Intelligence-for-Embedded-Systems-AIfES.html and https://blog.arduino.cc/2021/07/06/aifes-is-an-ai-ml-framework-written-in-c-for-even-the-smallest-microcontrollers/
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** Edge Impulse https://docs.edgeimpulse.com/docs
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** Queexo https://github.com/qeexo/Qeexo_AutoML_Arduino_Nano33BLE_pub
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** https://experiments.withgoogle.com/
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'''Hardware'''
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* Arduino Nano 33 BLE Sense
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** https://store.arduino.cc/arduino-nano-33-ble-sense
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** https://rlx.sk/sk/original-arduino-boards/7210-arduino-nano-33-ble-sense-abx00031.html
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** https://www.mouser.sk/new/arduino/arduino-nano-33-ble-sense/
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* Arduino Portenta H7
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** https://store.arduino.cc/portenta-h7 + vision shield
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* Sparkfun Edge
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** https://learn.sparkfun.com/tutorials/programming-the-sparkfun-edge-with-arduino/all
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* Adafruit
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** https://www.adafruit.com/category/1006
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** https://www.adafruit.com/product/4317
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* Kamera
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** [[Kamera OV7670]]
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'''Software'''
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* Main: https://www.tensorflow.org/lite/microcontrollers
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* Arduino: Arduino Tensor Flow library with 4 builtin examples
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* https://github.com/uTensor/uTensor/
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* https://www.edgeimpulse.com/
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* https://cartesiam.ai/
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'''Aplikáce'''
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* https://create.arduino.cc/projecthub/manivannan/driver-braking-analyzer-a-tinyml-model-using-edge-impulse-b1f749
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'''Všeobecne o AI, teória a matematika'''
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* Kurz https://course.elementsofai.com/
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* https://towardsdatascience.com/understanding-the-mathematics-behind-gradient-descent-dde5dc9be06e
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* https://experiments.withgoogle.com/
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=== '''Populárna a popularizačná AI''' ===
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Odtialto by sa dalo vselico povyberat aj na nejaky popularny workshop pre deti
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* https://teachablemachine.withgoogle.com/ Teachable machine + vela resources
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* https://github.com/googlecreativelab/teachablemachine-community/blob/master/snippets/markdown/tiny_image/GettingStarted.md predosle ale s realnym Arduinom Nano BLE a kamerou
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* https://quickdraw.withgoogle.com/ Kreslenie s AI
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* https://playground.tensorflow.org/ Pekna vizualizacia NN aj s prikladmi a vselico sa tam da menit
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* Live demo na MINST a dalsie https://cs.stanford.edu/people/karpathy/convnetjs/ - je tam aj jedno roboticke s otravenymi a zdravymi jablckami

Aktuálna revízia z 07:56, 21. apríl 2022

Postupne:

tinyML Talks

Hardware


Software


Aplikáce


Všeobecne o AI, teória a matematika


Populárna a popularizačná AI

Odtialto by sa dalo vselico povyberat aj na nejaky popularny workshop pre deti