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DL03 · Convolutional Networks

A free, illustrated L2 course of 9 modules in the Deep Learning track. Modules include: Convolution and cross-correlation; Padding, stride, pooling and receptive fields; Classic architectures from LeNet to VGG.

DL03 L2 · Intermediate 9 modules · about 36 lessons Planned · Ring 2

Part of the Deep Learning track. Ships in Ring 2 (Spine) of the roadmap.

Modules

1. Convolution and cross-correlation
2. Padding, stride, pooling and receptive fields
3. Classic architectures from LeNet to VGG
4. Residual networks and after
5. Transfer learning and fine-tuning
6. Data augmentation
7. Visualizing what a network learns
8. Efficient architectures
9. Detection and segmentation, a first look

Signature illustrations

The pictures a learner should still see in their head a year later:

Sliding-kernel animations, receptive fields growing with depth, galleries of feature maps, architecture block diagrams, saliency maps.

Status

This course is planned, not written yet. It ships with Ring 2 (Spine).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.