| Fine tuning |
The process of making small adjustments to achieve the desired output or performance. In deep learning, it involves the use of weights of a trained neural network to program another deep learning algorithm from the same domain.
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| Pretrained Model |
Model created by some one else to solve a similar problem
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| Transfer learning |
Machine learning method where a model developed for a task is reused as the starting point for a model on a second task.
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| Zero shot learning (ZSL) |
Machine learning technique that allows a model to classify objects from previously unseen classes, without receiving any specific training for those classes
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