deep-learning
Modern CNN architecture families
taught
Taught in
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AlexNet and the missing ingredients
Deep Learning / Neural Networks
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VGG blocks
Deep Learning / Neural Networks
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Network in Network
Deep Learning / Neural Networks
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Inception and GoogLeNet
Deep Learning / Neural Networks
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DenseNet
Deep Learning / Neural Networks
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CNNs and Vision Transformers today
Deep Learning / Neural Networks
Requires
- multichannel-convolution required
Required by
- Architecture design spaces required
- CNN and Vision Transformer architecture families, surveyed recommended
- Image segmentation, at a conceptual level required
- Object detection, at a conceptual level required
- Residual connections required
- The Vision Transformer required
- Transfer learning 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.