GDG San Diego Talk

Overview

This will be the fourth time I am giving this talk about my work on the Raspberry Pi. I last gave it at the Google Developers ML Summit and it was recording and that was kind of odd. We will see if this one is a little better with some audience feedback.

TensorFlow Lite

Since I had some extra time I was able to implement TensorFlow Lite on the Raspberry Pi. I went to the TF Quickstart [Link] page and since I had already converted the Keras model into a tflite model I only needed the interpreter. This allowed me to not have to have the full TF install*.

*I still used the Keras preprocessing and decoding methods that came with the MobileNetV2 model. I probably should have not done that but at this point I don’t think it matters as much. Maybe in the future I will do ONLY TF Lite.

Links

Original Blog Series: Here
Meetup: https://gdg.community.dev/events/details/google-gdg-san-diego-presents-tensorflow-lite-on-the-raspberry-pi/
Code: Main, MobileNetV2Base, and PiCameraManager
Presentation: ImageDetection/GDG-SanDiego.pptx

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Heartland Developers Conference Talk

Overview

This is a version of my talk about adding some image detection onto the Raspberry Pi. For the Paris talk, I only had 20 minutes and for GDG Denver I had 90 but didn’t use all of it so this length should be about right.

TensorFlow Lite

Since I had some extra time I was able to implement TensorFlow Lite on the Raspberry Pi. I went to the TF Quickstart [Link] page and since I had already converted the Keras model into a tflite model I only needed the interpreter. This allowed me to not have to have the full TF install*.

*I still used the Keras preprocessing and decoding methods that came with the MobileNetV2 model. I probably should have not done that but at this point I don’t think it matters as much. Maybe in the future I will do ONLY TF Lite.

Links

Original Blog Series: Here
Meetup: https://www.heartlanddc.com/
Code: Main, MobileNetV2Base, and PiCameraManager
Presentation: ImageDetection/HDC.pptx

Iowa State Google Developer Student Club Presentation

I have tried to get a student club created at Iowa State ever since I became a GDE. Well, the people at Google with some real pull were able to find some great students to lead it. Well, I am going to give a presentation on 9/9 about my work with deep learning and trying to predict basketball scores. Hopefully, they will get some entertainment and learn something.

DSC Link: https://dsc.community.dev/events/details/developer-student-clubs-iowa-state-university-presents-machine-learning-workshop-with-evan-hennis-google-developer-expert/

Presentation: https://github.com/ehennis/Blog/blob/master/DeepLearningBasketball/DL-IowaState.pptx

GDG Denver Talk

Overview

This is a version of my talk about adding some image detection onto the Raspberry Pi. For the Paris talk, I only had 20 minutes but this time I have 90. Hopefully, I can make use of the extra time.

TensorFlow Lite

Since I had some extra time I was able to implement TensorFlow Lite on the Raspberry Pi. I went to the TF Quickstart [Link] page and since I had already converted the Keras model into a tflite model I only needed the interpreter. This allowed me to not have to have the full TF install*.

*I still used the Keras preprocessing and decoding methods that came with the MobileNetV2 model. I probably should have not done that but at this point I don’t think it matters as much. Maybe in the future I will do ONLY TF Lite.

Links

Original Blog Series: Here
Meetup: https://www.meetup.com/GDG-Denver/events/270788558/
Code: Main, MobileNetV2Base, and PiCameraManager
Presentation: ImageDetection/GDG-Denver.pptx