Toward Prototyping with Neural Networks on Embedded Hardware | Teresa Pelinkski (QMUL)

preview_player
Показать описание
Links:

——

0:00 Intro
0:57 About Teresa
2:19 Prototyping with sensors and neural networks
4:08 Combining Python skills with physical computing skills
5:24 Why embedded systems?
7:38 Limitations of embedded systems
10:29 Running neural networks in Bela
13:28 End of presentation
13:42 Q&A
19:00 Outro

——

See our past meetups here:

  1. The Audio Programmer
Рекомендации по теме
Toward Prototyping with 0:19:19

Toward Prototyping with Neural Networks on Embedded Hardware | Teresa Pelinkski (QMUL)

Neural Network Prototyping 0:05:27

Neural Network Prototyping On the Go

A Hardware Prototype 0:01:00

A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference

Neural Network Receiver 0:02:47

Neural Network Receiver & Rate-Splitting Multiple Access

Mengye Ren - 0:54:33

Mengye Ren - Towards Continual and Compositional Few-shot Learning

Training Neural Networks 0:12:38

Training Neural Networks in PyTorch

Assembling A Neural 0:06:20

Assembling A Neural Network Robot Army

Artificial Neural Network 0:01:31

Artificial Neural Network ANN || Towards The Automation of Automation

Continual Prototype Evolution: 1:14:01

Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams | Matthias De Lange

As simple as 0:22:30

As simple as possible, but not simpler: features of the neural code for visual recognition

High-speed information processing 0:05:24

High-speed information processing using an optical neural network

[NeurONN]: How to 0:02:35

[NeurONN]: How to solve NP-hard problems with Oscillatory Neural Networks

202 - Towards 0:04:53

202 - Towards Visually Explaining Video Understanding Networks with Perturbation

MedAI Session 26: 0:58:29

MedAI Session 26: Towards Generalist Imaging Using Multimodal Self-supervised Learning | Mars Huang

Binarized Neural Network 0:01:09

Binarized Neural Network Implementation on ZYNQ

The First Neural 0:18:52

The First Neural Networks

ICML 2021 XAI 0:05:32

ICML 2021 XAI Workshop - Towards Fully Interpretable Deep Neural Networks: Are We There Yet?

Deep Neural Networks 0:43:40

Deep Neural Networks for Hackers: Methods, Applications, and Open Source Tools

Introduction to STM32Cube.AI 0:10:23

Introduction to STM32Cube.AI - 1 Marketing introduction

Taking AI from 2:00:46

Taking AI from prototype to production - MFML Part 3

Interpretable Neural Networks 0:39:15

Interpretable Neural Networks for Computer Vision: Clinical Decisions that are Aided, not Automated

Building Neural Networks 0:21:33

Building Neural Networks with TensorFlowJS: A Flask and GPT-4 Tutorial

Neural Networks Audiobook: 1:07:36

Neural Networks Audiobook: Chapter 1, Introduction to Neural Networks

Neural Network Basics 0:27:27

Neural Network Basics