Difference between revisions of "Transfer Learning"
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* [http://venturebeat.com/2019/10/22/deepmind-transfers-cube-stacking-skills-from-simulation-to-physical-robot/ DeepMind transfers cube-stacking skills from simulation to physical robot. | Kyle Wiggers - VentureBeat] | * [http://venturebeat.com/2019/10/22/deepmind-transfers-cube-stacking-skills-from-simulation-to-physical-robot/ DeepMind transfers cube-stacking skills from simulation to physical robot. | Kyle Wiggers - VentureBeat] | ||
| + | * [http://medium.com/@ajitrajasekharan/gpt-2-a-promising-but-nascent-transfer-learning-method-that-could-reduce-or-even-eliminate-in-some-48ea3370cc21 GPT-2 A nascent transfer learning method that could eliminate supervised learning some NLP tasks | Ajit Rajasekharan - Medium] | ||
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Revision as of 23:16, 12 November 2019
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- Transfer Learning With Keras
- Style Transfer
- A Review of Transfer Learning Algorithms | Mohsen Kaboli
- Advanced Learning
- DeepMind transfers cube-stacking skills from simulation to physical robot. | Kyle Wiggers - VentureBeat
- GPT-2 A nascent transfer learning method that could eliminate supervised learning some NLP tasks | Ajit Rajasekharan - Medium
Who is the predator? Who is the prey? Have you ever seen a live dinosaur? Not ever seeing a live dinosaur and knowing the predator/prey answers is 'transfer' learning.
Transfer learning (aka Knowledge Transfer, Learning to Learn) is a machine learning technique where a model trained on one task is re-purposed on a second related task. Transfer learning is an optimization that allows rapid progress or improved performance when modeling the second task. A Gentle Introduction to Transfer Learning for Deep Learning | Jason Brownlee - Machine Learning Mastery
