Difference between revisions of "Meta-Learning"
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[http://www.google.com/search?q=Meta-Learning+Learning+machine+neural+network ...Google search] | [http://www.google.com/search?q=Meta-Learning+Learning+machine+neural+network ...Google search] | ||
| − | + | * [[Learning Techniques]] | |
| − | + | * [http://arxiv.org/abs/1804.00222 Meta-Learning Update Rules for Unsupervised Representation Learning | Luke Metz, Niru Maheswaranathan, Brian Cheung, Jascha Sohl-Dickstein] | |
| + | * [http://medium.com/huggingface/from-zero-to-research-an-introduction-to-meta-learning-8e16e677f78a From zero to research — An introduction to Meta-learning | Thomas Wolf - Medium] | ||
| − | <youtube> | + | “learning how to learn”... the use of machine learning algorithms to assist in the training and optimization of other machine learning models. [http://www.unite.ai/what-is-meta-learning/ What is Meta-Learning? | Daniel Nelson - Unite.ai] |
| − | <youtube> | + | |
| + | http://miro.medium.com/max/544/1*Np91zhHmTqZ4d4j3rwaNvQ.png | ||
| + | |||
| + | Outer Training Methods - | ||
| + | * Black box | ||
| + | ** Random search | ||
| + | *** [[Algorithm Administration#Hyperparameter|Hyperparameter]] optimization | ||
| + | ** [[Reinforcement Learning (RL)]] | ||
| + | ** [[Evolutionary Computation / Genetic Algorithms | Evolution]] | ||
| + | * [[Gradient Descent Optimization & Challenges | Gradients]] - the whole training process is differentiable; 'unroll optimization, compute gradients, then [[Average-Stochastic Gradient Descent (SGD) Weight-Dropped LSTM (AWD-LSTM) | SGD]]. | ||
| + | |||
| + | |||
| + | <youtube>x-mzS5omvFQ</youtube> | ||
| + | <youtube>lz0ekIVfoFs</youtube> | ||
| + | <youtube>kmbPnsgHxz4</youtube> | ||
| + | <youtube>ByeRnmHJ-uk</youtube> | ||
| + | <youtube>wT45v8sIMDM</youtube> | ||
| + | <youtube>SRT0QQ5JS3E</youtube> | ||
| + | <youtube>2z0ofe2lpz4</youtube> | ||
Latest revision as of 14:35, 27 September 2020
YouTube search... ...Google search
- Learning Techniques
- Meta-Learning Update Rules for Unsupervised Representation Learning | Luke Metz, Niru Maheswaranathan, Brian Cheung, Jascha Sohl-Dickstein
- From zero to research — An introduction to Meta-learning | Thomas Wolf - Medium
“learning how to learn”... the use of machine learning algorithms to assist in the training and optimization of other machine learning models. What is Meta-Learning? | Daniel Nelson - Unite.ai
Outer Training Methods -
- Black box
- Random search
- Hyperparameter optimization
- Reinforcement Learning (RL)
- Evolution
- Random search
- Gradients - the whole training process is differentiable; 'unroll optimization, compute gradients, then SGD.
