Neural Networks For Feature Extraction

Neural networks are powerful machine learning algorithms that can automatically learn feature representations of input data. They have the advantages of automatically learning features, learning abstract features, good feature generalization, and combining with other methods to form a more powerful feature learning framework. Current research focuses on improving the effectiveness of feature learning and designing new neural network structures.