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This presentation and demo of the actual hardware will be in January. Our ship date of the hardware changed due to demand. The subject of this demo, is the AI framework supported by the hardware Caffe. We will be showing an example of this hardware running with caffe and training our models in the cloud with the Nvidia GPU cloud running on Amazon AWS and Azure.

Make sure that you have a free account setup in the cloud here:

https://ngc.nvidia.com/signin/email

Agenda

Introduction to Caffe

https://youtu.be/c2qfx0xWx1I

Installation

https://youtu.be/qX0w4ElTeHQ

Classification: Instant Recognition with Caffe
In this modeling example we'll classify an image with the bundled CaffeNet model (which is based on the network architecture of Krizhevsky et al. for ImageNet).

We'll compare CPU and GPU modes and then dig into the model to inspect features and the output.

http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/00-classification.ipynb

Why adding a Neural Network to your IOT project matters

https://youtu.be/SVI2mOx5a-4

https://youtu.be/f39NFuZAj6s

December's meeting is Compile, Tune and Accelerate your deep neural networks with the world’s first USB-based deep learning inference kit using Caffe and The Nvidia GPU Cloud..

https://youtu.be/MXmFRhA1VTk

https://youtu.be/VioTPaYcF98

https://youtu.be/4xud1T9DaFY

https://youtu.be/MCmgfHjMIKg

https://youtu.be/smM-Wdk2RLQ

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