Archives for domain adaptation
To fill the gap between Source data (train data) and Target data (Test data) a concept called domain adaptation is used. It is the ability to apply an algorithm that is trained on one or more source domains to a different target domain.
The post Understanding Direct Domain Adaptation in Deep Learning appeared first on Analytics India Magazine.
Weather conditions are usually spoken in terms of sunny or rainy. Simplification works fine for us, humans. But, if you task an autonomous system like a car to make changes in accordance with the weather, inputs such as sunny and rainy won’t do any good. For instance, a computer vision system is assigned to take…
The post Rethinking Domain Adaptation In Machine Learning For A Varying World appeared first on Analytics India Magazine.