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 Basic Machine Learning @ Coursera by Prof. Andrew Ng Neural Networks and Deep Learning Convolutional Neural Networks Deep Learning [Online Modules] @ Stanford by Prof. Andrew Ng Python (and programming) @ Coursera by Prof. Jennifer Campbell and Prof. Paul Gries Python for Beginners - Learn Python in 1 Hour @Programming with Mosh PyTorch for Deep Learning & Machine Learning @ freeCodeCamp A Free Machine Learning University Advanced TinyML and Efficient Deep Learning Computing @ MIT by Prof. Song Han [Fall 2023] Machine Learning Completion @CMU, Prof. Tianqi Chen [Summer 2022] Tiny Machine Learning @ Harvard by Prof. Vijay Janapa Reddi [Fall 2022] Hardware for Machine Learning @ UC, Berkeley by Prof. Sophia Shao [Spring 2021] Deep Learning for Computer Vision @ Stanford by Prof. Fei-Fei Li [Spring 2023] Neural Networks for Machine Learning by Prof. Geoffrey Hinton [2016] [book] Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville Softwares Framework [General Idea] Deep Learning Frameworks: Computation Graphs Pytorch Vs Tensorflow, PyTorch or TensorFlow? Pytorch, Mobile Tensorflow, Lite, Microcontrollers, Playground TVM: An Automated End-to-End Optimizing Compiler for Deep Learning, Github TensorRT, Github Nvidia NGC Library Artificial Intelligence for Embedded Systems (AIfEs), Github Nvidia Deep Learning Examples Github (Pyotch/Tensorflow Models) Facebook Detectron2 Development Platform Edge Impulse Android Development for Beginners @ freeCodeCamp Hardwares Nvidia Jetson, Nano Sony Spresense Resources Browse State-of-the-Art Machine Learning Roadmap, Github, Video TinyML Neural-Networks-on-Silicon Readings Applications 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 Algorithms 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
ENGR213/214 Introduction to C programing for Engineers/Laboratory
Undergraduate-Level Course: FL’ 20, SP’21, FL’21, SP’22, FL’22, SP’23, FL’23