Feature Extraction
Feature extraction transforms raw input into informative measurements or representations that a machine learning model can use.
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Feature extraction transforms raw input into informative measurements or representations that a machine learning model can use.
Xception is a computer vision architecture that uses depthwise separable convolutions for efficient image classification and feature extraction.
A convolutional neural network is a deep learning model that detects spatial patterns in images and other grid-like data.