deep-learning
Invariance and locality as motivation for convolution
taught
Taught in
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Why fully connected layers don't suit images
Deep Learning / Neural Networks
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Invariance and locality
Deep Learning / Neural Networks
Requires
- hidden-layers required
Required by
- Cross-correlation and convolution required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.