Own your own working Pokémon Pokédex!

Squeal with delight as your inner Pokémon trainer witnesses the wonder of Adrian Rosebrock’s deep learning Pokédex. Creating a real-life Pokedex with a Raspberry Pi, Python, and Deep Learning This video demos a real-like Pokedex, complete with visual recognition, that I created using a Raspberry Pi, Python, and Deep Learning. You can find the entire blog post, including code, using this link: https://www.pyimagesearch.com/2018/04/30/a-fun-hands-on-deep-learning-project-for-beginners-students-and-hobbyists/ Music credit to YouTube user “No Copyright” for providing royalty free music: https://www.youtube.com/watch?v=PXpjqURczn8 The history of Pokémon in 30 seconds The Pokémon franchise was created by video game designer Satoshi Tajiri in 1995

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IBM Research Uses Deep Learning to Train Raspberry Pi Devices – EE Times

EE Times IBM Research Uses Deep Learning to Train Raspberry Pi Devices EE Times The deep learning model has yet to be deployed to a physical device, said McKenna, but the study demonstrates that the reduction in computational expense means the simulation of a physics model could be done an Raspberry Pi or any other low-end …

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IBM Uses Deep Learning to Train Raspberry Pi Devices – EE Times

EE Times IBM Uses Deep Learning to Train Raspberry Pi Devices EE Times The deep learning model has yet to be deployed to a physical device, said McKenna, but the study demonstrates that the reduction in computational expense means the simulation of a physics model could be done an Raspberry Pi or any other low-end …

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IBM Uses Deep Learning to Train Raspberry Pi – EE Times

EE Times IBM Uses Deep Learning to Train Raspberry Pi EE Times The deep learning model has yet to be deployed to a physical device, said McKenna, but the study demonstrates that the reduction in computational expense means the simulation of a physics model could be done an Raspberry Pi or any other low-end …

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Hackaday Prize Entry: Detecting Adulterated Food Using AI – Hackaday

Hackaday Hackaday Prize Entry: Detecting Adulterated Food Using AI Hackaday His approach is to instead take high-definition photos of the food and, on a Raspberry Pi , apply filters to them to reveal various properties such as density, size, color, texture and so on. He also mentions doing image analysis using a deep learning …

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