What Is Hierarchical Representations In Deep Learning?
Table Of Contents:
- What Is Hierarchical Feature Representation?
- Key Concepts of Hierarchical Representations.
(1) What Is Hierarchical Feature Representation?
- Hierarchical representations refer to the layered structure of features or patterns that a machine learning model, particularly in deep learning, learns from input data.
- These representations progress from simple, low-level features in early layers to more complex, high-level abstractions in deeper layers of a neural network.
(2) Key Concepts In Hierarchical Representation.
(3) Benefits Of Hierarchical Representation.
