- Describe the effect of the feature extraction on the performance of the neural networks model.

Question

Question

engineering Computer-Science

Answer 1

Answer #1

Some positive effects of feature extraction are:-

fast training. Training a simple model can take minutes instead of hours or days. This allows to quickly test hypotheses and increase productivity
good performance. Thanks to transfer learning, one can build accurate models on relatively small datasets
adaptability to existing pipelines. A company who have spent time and resources building the infrastructure around a specific modelling framework, can improve model performance without changing their pipelines entirely. They would only need a preprocessing step performed with the pre-trained model.

Answer 2

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