8.3. Network in Network (NiN) — Dive into Deep Learning 1.0.0-beta0 documentation thumbnail
8.3. Network in Network (NiN) — Dive into Deep Learning 1.0.0-beta0 documentation
d2l.ai
The second significant difference between NiN and both AlexNet and VGG is that NiN avoids fully connected layers altogether. Instead, NiN uses a NiN block with a number of output channels equal to the number of label classes, followed by a global average pooling layer, yielding a vector of logits. T
1 Users
0 Comments
1 Highlights
0 Notes

Top Highlights

  • The second significant difference between NiN and both AlexNet and VGG is that NiN avoids fully connected layers altogether. Instead, NiN uses a NiN block with a number of output channels equal to the number of label classes, followed by a global average pooling layer, yielding a vector of logits. This design significantly reduces the number of req...

Domain

Ready to highlight and find good content?

Glasp is a social web highlighter that people can highlight and organize quotes and thoughts from the web, and access other like-minded people’s learning.