Machine learning

[June 27th 2020] ContinualAI Meetup: "Continual Learning: in the Cloud, at the Edge or Both?" Description: In this meeting we will mostly discuss where the continual learning process should take place (in the cloud or at the edge) and its relationship with distributed and federated learning! As always we started with a series of spotlight 15 minutes presentations from 4 Continual Learning experts and later we had a fun, 30 minutes open debate on the topic. You can find the slides and more references in our forum: https://continualai.discourse.group/t/continualai-meetup-continual-learning-in-the-cloud-at-the-edge-or-both/125 The speakers for this meetup were: • Qi (Roger) She (Intel Labs): "Towards Edge-enhanced Robot 4.0: Continual Learning and Spatial-temporal Intelligence" • Bing Liu (University of Illinois at Chicago): "Learning on the Job: Online Lifelong and Continual Learning" • Fernando E. Casado (Universidade de Santiago de Compostela): "Collaborative and Continual Learning for Classification Tasks in a Society of Devices" • Matthias De Lange (KU Leuven): "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem" -------------------

Grátis15 aulas10 h 30 minAvançado

canal othmane marfoq

junho 2020

Verificado há 4 dias

O que vais aprender

  • ContinualAI Meetup] Continual Learning: in the Cloud, at the Edge or Both?
  • Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio
  • Docker For Data Scientists
  • Disentangling Influence: Using Disentangled Representations to Audit Model Predictions
  • Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained
  • How To Run TensorFlow Lite on Raspberry Pi for Object Detection
  • GitHub Support for password authentication was removed (August 13, 2021) - Solution
  • Attention in transformers, step-by-step · Deep Learning Chapter

Retirado das lições do próprio curso, nas palavras do autor.

Grátis

O curso é gratuito e está publicado no YouTube. O autor continua sendo o canal; a gente só organiza e confere se os vídeos abrem.

Começar o curso

Temas relacionados

Este curso inclui

  • 10 h 30 min de vídeo
  • 15 lições
  • Nível: Avançado
  • Idioma: English
  • Guardamos onde ficaste
  • Totalmente grátis, sem cartão

Aulas

2 secções · 15 aulas · 10 h 30 min duração total

O que precisas

  • Espera-se experiência: o curso é de nível avançado.

Descrição

[June 27th 2020] ContinualAI Meetup: "Continual Learning: in the Cloud, at the Edge or Both?" Description: In this meeting we will mostly discuss where the continual learning process should take place (in the cloud or at the edge) and its relationship with distributed and federated learning! As always we started with a series of spotlight 15 minutes presentations from 4 Continual Learning experts and later we had a fun, 30 minutes open debate on the topic. You can find the slides and more references in our forum: https://continualai.discourse.group/t/continualai-meetup-continual-learning-in-the-cloud-at-the-edge-or-both/125 The speakers for this meetup were: • Qi (Roger) She (Intel Labs): "Towards Edge-enhanced Robot 4.0: Continual Learning and Spatial-temporal Intelligence" • Bing Liu (University of Illinois at Chicago): "Learning on the Job: Online Lifelong and Continual Learning" • Fernando E. Casado (Universidade de Santiago de Compostela): "Collaborative and Continual Learning for Classification Tasks in a Society of Devices" • Matthias De Lange (KU Leuven): "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem" -------------------

Para quem é este curso

  • Quem já trabalha com Machine learning.

Estes dois pontos são a nossa leitura do nível. A descrição é do autor.

Machine learning, canal othmane marfoq