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This course includes
- 10h 30m of video
- 15 lessons
- Level: Advanced
- Spoken in English
- Your place is remembered
- Free in full, no card
Lessons
2 sections · 15 lessons · 10h 30m total length
Lessons 1 to 1010 lessons · 9h 34m
- [ContinualAI Meetup] Continual Learning: in the Cloud, at the Edge or Both?1h 49m
- DeepMind x UCL | Deep Learning Lectures | 6/12 | Sequences and Recurrent Networks1h 20m
- Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)18m
- Why Does Deep Learning Perform Deep Learning - MSR AI Seminar 08/11/20201h 9m
- Docker For Data Scientists57m
- What is PyTorch | Building Recommender Systems with PyTorch | Joseph Spisak and Geeta Chauhan50m
- Disentangling Influence: Using Disentangled Representations to Audit Model Predictions27m
- Optimal Continual Learning has Perfect Memory and is NP hard15m
- Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained)1h 6m
- CS480/680 Lecture 19: Attention and Transformer Networks1h 23m
Lessons 11 to 155 lessons · 56m
- How To Run TensorFlow Lite on Raspberry Pi for Object Detection11m
- Attack on Titan Season 2 - Official Opening Song - Shinzou wo Sasageyo by Linked Horizon2m
- GitHub Support for password authentication was removed (August 13, 2021) - Solution6m
- Top 6 Coding Interview Concepts (Data Structures & Algorithms)11m
- Attention in transformers, step-by-step | Deep Learning Chapter 626m
What you need
- Experience expected: this course is pitched at an advanced level.
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" -------------------
Who this course is for
- People already working with Machine learning.
Those two are our reading of the course's level. The description is the author's own.