Embedded Systems and Deep Learning
This video channel includes two parts:
(1) Embedded system programming. It includes tutorials for the book Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C (Forth Edition), Author: Yfieng Zhu, ISBN-13: 978-0982692677.
(2) Deep learning. It includes paper reviews and tutorials for modern deep-learning models.
Lecture 1. Why use two's complement?
Rethinking Metal Casting from an Additive Manufacturing Perspective
Design and Manufacturing of New Functional Ceramic Composites
Complex, Customizable, and Continual Learners for AI in Advanced Manufacturing by Dr. Nick Cheney
Paper review: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Paper review: Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Paper Review: DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Paper Review: SAIL: Analyzing structural artifacts of logic locking using machine learning
Paper Review: Learning to Solve Hard Minimal Problems (Paper review, Zhongao Xu)
Paper Review: Bayesian Uncertainty (Masoud Ataei)
Paper Review: Yolo (Ahamad Shihab)
Paper Review: Swin Transformer (Saher Fatima)
Paper Review: Rebotics Reinforcement Learning (Niranjan Bhujel)
Paper Review: Informer (Harris Dorothy)
Paper Review: BEIT (Abhilash Durgam)
Paper Review: Modeling Long- and Short-Term Temporal Patterns (Samuel Aremu)
Paper Review: Openai zeroshot classifier (CLIP)
Paper Review: Multimodal Approach to Zero-Shot Classification (Sarah Glatter)
Paper Review: Vision transformers and adapters (Jason Halliday)
Paper Review: Gigapixel image compression (Zafaryab Haider)
Paper Review: EASY: Ensemble Augmented-Shot Y-Shaped Learning (Jordan Miner)
Paper Review: Anomaly Detection (Joseph Patton)
Paper Review: Temporal Fusion Forecasting (Christopher Ewanik)
Paper Review: Replicating Humanlike Gameplay in a Multi Agent Environment (Josh Hamilton)
Paper Review: ViT Adapter (Devin Hoskins)
Lecture 32. Mixing C and Assembly
Lecture 31. Preserving registers in a Subroutine
Lecture 30. Passing Arguments to a Subroutine
Lecture 29. Calling a subroutine
Lecture 28. Conditional Execution