filmov
tv
TinyML Workshop 1b
Показать описание
Introduction to Edge Impact, Arduino, and how to collect data (continued).
Backyard Brains
Рекомендации по теме
1:52:35
TinyML Workshop 1b
2:06:42
TinyML Workshop 1c
0:18:38
tinyML Research Symposium 2021: TTVOS: Lightweight Video Object Segmentation with Adaptive...
1:09:17
Intro to TinyML: Technical Perspective & Implementation with Arduino [BAHASA]
1:01:20
tinyML Talks: A Practical Guide to Neural Network Quantization
0:00:47
NUS ISS Learning Festival 'Mask Or Not Classifier' Demo using ESP32
0:19:59
tiny ML Summit 2021 tiny Talks: Compute-in-Memory Hardware Accelerator for Always-On TinyML
0:55:11
Supercharge your development time with the new Arm NN 20.11 release
0:25:48
Specialization in Hardware Architectures for Deep Learning
0:50:51
Efficient Computing for AI and Robotics
1:02:21
Pilot Talk 5: High perf and energy-efficient circuit technologies for sub-7nm AI accelerators and ..
0:25:42
Mehrdad Khani - Real-Time Video Inference on Edge Devices via Adaptive Model Streaming | MLxMIT
0:34:45
'DingoCar: Perception module Small scale, self-driving car' - Andy Gelme (LCA 2020)
0:14:18
USENIX ATC '21 - ZeRO-Offload: Democratizing Billion-Scale Model Training
0:09:58
NICE2016 - Sek Chai
0:01:00
[PreReg@NeurIPS'20] (50) Exploring self-supervised learning techniques for hand pose estimation
0:01:52
Wang Group Lab- ECE UC San Diego
0:15:01
OSDI '22 - Immortal Threads: Multithreaded Event-driven Intermittent Computing on Ultra-Low-Pow...
0:35:24
Kurt Keutzer, Co-Founder of DeepScale. How Autonomous Driving Challenges Computer Vision Research
1:15:05
Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State
1:18:44
Murmann - Mixed-Signal Circuit Techniques for Near-Sensor Data Analysis & Machine Learning Infer...
0:40:53
CVPR'20 iMLCV tutorial: Understanding Deep Neural Networks by Ruth C. Fong
0:04:46
An Expert Panel Discusses the Future of Image Sensors (Preview)
0:06:48
Lesson 6 Pico MicroPython Toggle Function in Pico