You can see that it follows much the same pattern as LeNet CNN for MNIST - a few (ok, more than a few!) convolutional layers followed by a few fully connected layers.
Maybe you could call it a "follow on" or perhaps an ANN pattern?:
Conv -> Conv -> Reshape/Flatten -> FC -> FC -> FC
(disregarding activation and such)
...which is really the lesson of the LeNet MNIST CNN - at least, that's my takeaway.
https://github.com/SullyChen/Autopilot-TensorFlow/blob/maste...
You can see that it follows much the same pattern as LeNet CNN for MNIST - a few (ok, more than a few!) convolutional layers followed by a few fully connected layers.
Maybe you could call it a "follow on" or perhaps an ANN pattern?:
Conv -> Conv -> Reshape/Flatten -> FC -> FC -> FC
(disregarding activation and such)
...which is really the lesson of the LeNet MNIST CNN - at least, that's my takeaway.