Transfer learning is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. Applications of transfer learning involves learning from simulations, learning from video games, learning from imagenet, neural network models and neural translation models (zero-shot translation) etc..

1. TRANSFER
LEARNING

2. Transfer
Learning ?
Transfer learning is a
research problem in
machine learning that
focuses on storing
knowledge gained while
solving one problem and
applying it to a different
but related problem.
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3. Transfer Learning - 02

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5. Transfer Learning - Machine
Learning's Next Frontier
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6. Applications Of
Transfer Learning
Learning from simulations
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7. Applications Of
Transfer Learning
Video games used to train military
troops
The tactics learned in a game can be
applied in real world.
VBS2, Operation Flashpoint, ARMA
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8. Applications Of
Transfer Learning
Image Classification
ImageNet
Medical imaging (kidney detection
problem in ultrasound images).
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9. Applications Of
Transfer Learning
Zero Shot Translation
Google’s Neural Translation
model(GNMT))
Image2Emoji
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10. Applications Of
Transfer Learning
Sentiment Classification
Detect Emotions
Recurrent neural network model
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11. Thanks .. ! 10