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Results tagged with representation-learning
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For questions related to feature learning (also known as representation learning), which is a set of techniques that can learn the features associated with the raw data. It is similar to feature engineering, but, in the case of feature learning, the features are learned and not handcrafted.
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How can I adapt a trained neural network model to learn from newer data containing additiona...
To make the dynamic amount of features easier to work with, you can model it as a sequence modeling problem, where for the new task your sequence length increases. (where each "timestep" is a single f …
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