Sujets liés
Ce cours comprend
- 10 h 30 min de vidéo
- 15 leçons
- Niveau : Avancé
- Langue : English
- On retient où vous en étiez
- Entièrement gratuit, sans carte
Leçons
2 sections · 15 leçons · 10 h 30 min durée totale
Leçons 1 à 1010 leçons · 9 h 34 min
- [ContinualAI Meetup] Continual Learning: in the Cloud, at the Edge or Both?1 h 49 min
- DeepMind x UCL | Deep Learning Lectures | 6/12 | Sequences and Recurrent Networks1 h 20 min
- Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)18 min
- Why Does Deep Learning Perform Deep Learning - MSR AI Seminar 08/11/20201 h 9 min
- Docker For Data Scientists57 min
- What is PyTorch | Building Recommender Systems with PyTorch | Joseph Spisak and Geeta Chauhan50 min
- Disentangling Influence: Using Disentangled Representations to Audit Model Predictions27 min
- Optimal Continual Learning has Perfect Memory and is NP hard15 min
- Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained)1 h 6 min
- CS480/680 Lecture 19: Attention and Transformer Networks1 h 23 min
Leçons 11 à 155 leçons · 56 min
- How To Run TensorFlow Lite on Raspberry Pi for Object Detection11 min
- Attack on Titan Season 2 - Official Opening Song - Shinzou wo Sasageyo by Linked Horizon2 min
- GitHub Support for password authentication was removed (August 13, 2021) - Solution6 min
- Top 6 Coding Interview Concepts (Data Structures & Algorithms)11 min
- Attention in transformers, step-by-step | Deep Learning Chapter 626 min
Ce qu'il vous faut
- Expérience attendue : le cours est de niveau avancé.
Description
[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" -------------------
À qui s'adresse ce cours
- Celles et ceux qui travaillent déjà avec Machine learning.
Ces deux points sont notre lecture du niveau. La description est celle de l'auteur.