Problems With Convolution Operation
Syllabus:
- Loss of Spatial Information
- Translation Variance
- Over-Sensitivity to Local Features
- Down sampling Effects (Due to Pooling)
- Difficulty with Non-Uniform Transformations
- Overfitting
- Computational Complexity
- Gradient Vanishing or Exploding
- Limited View of the Input (Receptive Field Problem)
- Class Imbalance Impact
- Lack of Explainability
(1) Loss of Spatial Information
(2) Translation Variance
(3) Over-Sensitivity to Local Features
(4) Down Sampling Effects (Due to Pooling)
(5) Difficulty with Non-Uniform Transformations
(6) Loss of Spatial Information
(7) Loss of Spatial Information
(8) Loss of Spatial Information
(9) Loss of Spatial Information
(10) Loss of Spatial Information
(11) Loss of Spatial Information