Intel® Edge AI for IoT Developers Nanodegree

---

Chapters covered:

1. Introduction to AI at the edge
2. Leveraging Pre-Trained Models
3. Model Optimizer
4. Inference Engine
5. Deploying an Edge App

Projects:

• Deploy a People Counter App at the Edge
• Smart Queueing System
• Computer Pointer Controller

Additional Resources

• AI At The Edge - An Introduction To Intel OpenVINO Toolkit.
• Introduction to OpenVINO
• Understanding SSD MultiBox — Real-Time Object Detection In Deep Learning
• Lossless Triplet loss
• Machine Learning is Fun!
• Back-Propagation is very simple. Who made it Complicated ?
• Deep Learning for Object Detection: A Comprehensive Review
• On implementing Deep Learning library from scratch in Python
• Object Detection with YOLO algorithm
• A Simple Guide to Convolutional Neural Networks
• How to detect objects in a picture and classify them using OpenVINO with Python

Model Zoo

• TensorFlow* Object Detection API models
• ONNX Models
• Caffe Models and Caffe2 Models

Technical Resources

• Intel OpenVINO docker image

Research Papers

• ResNet: Deep Residual Learning for Image Recognition

• Inception: Going deeper with convolutions

• SSD: Single Shot MultiBox Detector

• Microsoft COCO: Common Objects in Context

• SqueezeNext: Hardware-Aware Neural Network Design

• An Analysis of Deep Neural Network Models for Practical Applications

• Separable Convolutional Layers (Reducing Model Ops)

  • MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  • Xception: Deep Learning with Depthwise Separable Convolutions

• Model Pruning

  • Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
  • Learning both Weights and Connections for Efficient Neural Networks

Misc

• Tutorial: Computer Vision and Machine Learning with Python, Keras and OpenCV
• https://github.com/asharn/2.5-month-of-intel-edge-aiot/blob/master/README.md#day-12-january-29-2020-30daysofudacity
• Project Ideas
• OpenVINO Interactive face detection demo¶

---

Completed and Graduated