Embedded Systems and Deep Learning
Lecture 1. Why use two's complement?
4:11
Embedded Systems and Deep Learning
Rethinking Metal Casting from an Additive Manufacturing Perspective
25:51
Embedded Systems and Deep Learning
Design and Manufacturing of New Functional Ceramic Composites
31:03
Embedded Systems and Deep Learning
Complex, Customizable, and Continual Learners for AI in Advanced Manufacturing by Dr. Nick Cheney
51:59
Embedded Systems and Deep Learning
Paper review: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
28:47
Embedded Systems and Deep Learning
Paper review: Bayesian Deep Learning and a Probabilistic Perspective of Generalization
29:01
Embedded Systems and Deep Learning
Paper Review: DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
20:52
Embedded Systems and Deep Learning
Paper Review: SAIL: Analyzing structural artifacts of logic locking using machine learning
18:43
Embedded Systems and Deep Learning
Paper Review: Learning to Solve Hard Minimal Problems (Paper review, Zhongao Xu)
19:02
Embedded Systems and Deep Learning
Paper Review: Bayesian Uncertainty (Masoud Ataei)
20:12
Embedded Systems and Deep Learning
Paper Review: Yolo (Ahamad Shihab)
20:45
Embedded Systems and Deep Learning
Paper Review: Swin Transformer (Saher Fatima)
21:31
Embedded Systems and Deep Learning
Paper Review: Rebotics Reinforcement Learning (Niranjan Bhujel)
16:11
Embedded Systems and Deep Learning
Paper Review: Informer (Harris Dorothy)
22:24
Embedded Systems and Deep Learning
Paper Review: BEIT (Abhilash Durgam)
18:22
Embedded Systems and Deep Learning
Paper Review: Modeling Long- and Short-Term Temporal Patterns (Samuel Aremu)
19:39
Embedded Systems and Deep Learning
Paper Review: Openai zeroshot classifier (CLIP)
34:01
Embedded Systems and Deep Learning
Paper Review: Multimodal Approach to Zero-Shot Classification (Sarah Glatter)
24:40
Embedded Systems and Deep Learning
Paper Review: Vision transformers and adapters (Jason Halliday)
20:02
Embedded Systems and Deep Learning
Paper Review: Gigapixel image compression (Zafaryab Haider)
25:42
Embedded Systems and Deep Learning
Paper Review: EASY: Ensemble Augmented-Shot Y-Shaped Learning (Jordan Miner)
19:21
Embedded Systems and Deep Learning
Paper Review: Anomaly Detection (Joseph Patton)
21:25
Embedded Systems and Deep Learning
Paper Review: Temporal Fusion Forecasting (Christopher Ewanik)
19:32
Embedded Systems and Deep Learning
Paper Review: Replicating Humanlike Gameplay in a Multi Agent Environment (Josh Hamilton)
22:18
Embedded Systems and Deep Learning
Paper Review: ViT Adapter (Devin Hoskins)
19:55
Embedded Systems and Deep Learning
Lecture 32. Mixing C and Assembly
6:39
Embedded Systems and Deep Learning
Lecture 31. Preserving registers in a Subroutine
7:32
Embedded Systems and Deep Learning
Lecture 30. Passing Arguments to a Subroutine
8:02
Embedded Systems and Deep Learning
Lecture 29. Calling a subroutine
5:00
Embedded Systems and Deep Learning
Lecture 28. Conditional Execution
8:12
Embedded Systems and Deep Learning
Lecture 27. Branch instructions
7:04
Embedded Systems and Deep Learning
Lecture 26. Updating NZCV bit flags
6:28
Embedded Systems and Deep Learning
Lecture 25. Arithmetic and Logical Instructions
7:25
Embedded Systems and Deep Learning
Lecture 24. Addressing mode: pre-index, post-index, and pre-index with update
4:47
Embedded Systems and Deep Learning
Lecture 23. Load and Store Instructions
5:35
Embedded Systems and Deep Learning
Lecture 22. Big Endian and Little Endian
3:57
Embedded Systems and Deep Learning
Lecture 21. Why learn assembly language
11:28
Embedded Systems and Deep Learning
Lecture 20. Fixed Point Numbers
13:39
Embedded Systems and Deep Learning
Lecture 19. Floating-Point Unit (FPU)
15:04
Embedded Systems and Deep Learning
Lecture 18. ADC
14:27
Embedded Systems and Deep Learning
Lecture 14. Timer Input Capture
8:48
Embedded Systems and Deep Learning
Lecture 16. Volatile Variables
9:24
Embedded Systems and Deep Learning
Tutorial 6: Logic analyzer in Keil
9:37
Embedded Systems and Deep Learning
Tutorial 5: Code download errors
5:37
Embedded Systems and Deep Learning
Lecture 17. Race Conditions
9:50
Embedded Systems and Deep Learning
Lecture 8. LCD Driver
16:27
Embedded Systems and Deep Learning
Lecture 15: Booting Process
9:35
Embedded Systems and Deep Learning
Lecture 4: Pointer
12:31
Embedded Systems and Deep Learning
Lecture 12: System Timer (SysTick)
10:57
Embedded Systems and Deep Learning
Lecture 11: External interrupts (EXTI)
12:50
Embedded Systems and Deep Learning
Lecture 9: Interrupts
20:43
Embedded Systems and Deep Learning
Lecture 13: Timer PWM Output
16:47
Embedded Systems and Deep Learning
Lecture 7: GPIO Input: Interfacing joystick
12:33
Embedded Systems and Deep Learning
Lecture 6: GPIO Output: Lighting up a LED
11:01
Embedded Systems and Deep Learning
Lecture 5: Memory Mapped I/O
8:23
Embedded Systems and Deep Learning
Lecture 10: Interrupt Enable and Interrupt Priority
11:49
Embedded Systems and Deep Learning
Lecture 3: Overflow flag for signed addition and subtraction
5:58
Embedded Systems and Deep Learning
Lecture 2: Carry flag for unsigned addition and subtraction
4:33
Embedded Systems and Deep Learning
Tutorial 4: Printing messages via UART through ST-Link V2.1
12:09
Embedded Systems and Deep Learning
Tutorial 2: Debug a C program in MDK-Keil
10:48
Embedded Systems and Deep Learning
Tutorial 3: STM32L4 Clock Configuration
11:45
Embedded Systems and Deep Learning
Tutorial 1: Create a C project in MDK-Keil
9:15