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Kurs zawiera
- 10 godz. 30 min wideo
- 15 lekcji
- Poziom: Zaawansowany
- Język: English
- Pamiętamy, gdzie skończyłeś
- W całości za darmo, bez karty
Lekcje
2 sekcji · 15 lekcji · 10 godz. 30 min łączna długość
Lekcje 1–1010 lekcji · 9 godz. 34 min
- [ContinualAI Meetup] Continual Learning: in the Cloud, at the Edge or Both?1 godz. 49 min
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- Why Does Deep Learning Perform Deep Learning - MSR AI Seminar 08/11/20201 godz. 9 min
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- 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 godz. 6 min
- CS480/680 Lecture 19: Attention and Transformer Networks1 godz. 23 min
Lekcje 11–155 lekcji · 56 min
- How To Run TensorFlow Lite on Raspberry Pi for Object Detection11 min
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- 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
Czego potrzebujesz
- Wymagane doświadczenie: kurs jest na poziomie zaawansowanym.
Opis
[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" -------------------
Dla kogo jest ten kurs
- Dla pracujących już z Machine learning.
Te dwa punkty to nasz wniosek z poziomu kursu. Opis należy do autora.