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Training a Machine to Recognize Objects - How Hard Can It Be?

Duration: 09:57Views: 4.2KLikes: 143Date Created: Feb, 2022

Channel: element14 presents

Category: Science & Technology

Tags: object recognitionelectronicshackingmodselement14presentselement14makerengineeringmachine learningtensor flowmodel learninghardware

Description: Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google’s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles. bit.ly/3uXY55n #0:00 Welcome to element14 presents #0:12 Overview #2:00 Teachable Machine Attempt #3:23 Google Collab Attempt #6:33 Anaconda Attempt #8:08 Back to Google's Model! #9:10 Give your Feedback Engage with the element14 presents team on the element14 Community - suggest builds, find project files and behind the scenes video: bit.ly/3tmdewv Visit the element14 Community for more great activities and free hardware: Tech spotlights: bit.ly/3qPrDhM RoadTest and Reviews: bit.ly/3pV5Bux Project14: bit.ly/31wbnJY #machinelearning #tensorflow #objectdetection #recycling #python

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