Learning Resources

About this Hub
As a group, we need to improve our knowledge of the fast-growing field of deep learning and its applications.
As an educator, we include a (growing) list of tutorials and resources to educate students in our undergraduate/graduate programs, to help new    members in my lab with basic tutorials, and to help current members understand advanced topics better.
We hope this website helps people who share similar research interests or those interested in learning advanced topics about deep learning.
Please feel free to email me (zwqin@sfsu.edu), if you have comments, questions, or recommendations.
Online Courses
  Machine Learning  @ Coursera by Prof. Andrew Ng
  Python (and programming) @ Coursera by Prof. Jennifer Campbell and Prof. Paul Gries
  Machine Learning with Python @ freeCodeCamp
  Deep Learning @ Stanford by Prof. Andrew Ng
  Neural Networks for Machine Learning by Prof. Geoffrey Hinton
  Deep Learning for Computer Vision @ Stanford by Prof. Fei-Fei Li
  Tiny Machine Learning @ Harvard by Prof. Vijay Janapa Reddi
  Hardware for Machine Learning @ UC, Berkeley by Prof. Sophia Shao
  Machine Learning Completion @CMU, Prof. Tianqi Chen [Summer 2022] 
  [book] Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  [General Idea] Deep Learning Frameworks: Computation Graphs
  Pytorch Vs Tensorflow
  Pytorch, Mobile
  Tensorflow, Lite, Microcontrollers, Playground
  TVM: An Automated End-to-End Optimizing Compiler for Deep Learning, Github
  TensorRT, Github
  Nvidia NGC
  Android Development for Beginners @ freeCodeCamp
  Nvidia Deep Learning Examples Github (Pyotch/Tensorflow Models)
  Facebook Detectron2 
 Development Platform
  Android Development for Beginners @ freeCodeCamp
  Edge Impulse

 Nvidia Jetson, Nano
 Sony Spresense

 Browse State-of-the-Art
 Machine Learning Roadmap, Github, Video
 A Free Machine Learning University

  Understanding SSD MultiBox — Real-Time Object Detection In Deep Learning
  SSD object detection: Single Shot MultiBox Detector for real-time processing
  Review: SSD — Single Shot Detector (Object Detection)
  YOLO Algorithm by Andrew Ng
  The Evolution of Mobile CNN Architectures
  A Basic Introduction to Separable Convolutions

Awesome Papers

SFSU Teaching

ENGR 859 On-device Machine Learning

Graduate-Level Course SP’23

ENGR 844 Embedded Systems 

Graduate-Level Course FL’20

ENGR 456 Computer Systems

Undergraduate-Level Course SP’21, FL’21, SP’22, FL’22

ENGR213 Introduction to C programing for Engineers

Undergraduate-Level Course FL’ 20, SP’21, FL’21, SP’22, FL’22, SP’23

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