Difference between revisions of "Transfer Learning"
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* [[Style Transfer]] | * [[Style Transfer]] | ||
* [http://hal.archives-ouvertes.fr/hal-01575126/document A Review of Transfer Learning Algorithms | Mohsen Kaboli] | * [http://hal.archives-ouvertes.fr/hal-01575126/document A Review of Transfer Learning Algorithms | Mohsen Kaboli] | ||
| − | * [[ | + | * [[Learning Techniques]] |
* [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] | ||
Revision as of 09:34, 8 December 2019
YouTube search... ...Google search
- Text Transfer Learning
- Transfer Learning With Keras
- Style Transfer
- A Review of Transfer Learning Algorithms | Mohsen Kaboli
- Learning Techniques
- DeepMind transfers cube-stacking skills from simulation to physical robot. | Kyle Wiggers - VentureBeat
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
