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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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What is feature embedding in the context of convolutional neural networks?
What are feature embeddings in the context of convolutional neural networks? Is it related to bottleneck features or feature vectors?