Introduction - If you have any usage issues, please Google them yourself
Three types of layers:
- C: convolutional layer (matrix map)
- MP: max-pooling layer (matrix map)
- F: fully connected layer (vector map)
- O: output layer
Convolutional Layers:
- Scale: scale (size of patch)
- Number of output maps: outputMap
- Shared weights: k
- Bias: b
Max-pooling layer
- Scale: scale (size of patch)
- Max-coordinate matrix: k (1 if max, 0 if not)
Fully connected layer (dimension and number of feature maps stay the same)
- Weight matrix: w
- Bias: b
Output layer (dimension equal to the dimension of output label)
- Weight matrix: w
- Bias: b
Common parameters
- Result: a
- Delta: d