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For example
Reference material
Computing network in the network structure by a plurality of branches (or convolution pooling), the calculation result on the branch connection in the depth
For example |
Tensor a 3 * 3 * 2,
1 to 3 * 1 * 2 convolution kernels same convolution, step = 1,
And 2 2 * 2 * 2 convolution kernels same convolution, step = 1,
With a 2 * 3 * 3 mask in the same pool of maximum, step size = 1,
The results obtained in these three splice in the depth direction
GoogLeNet network architecture is based on a similar design of the network in the network module, the module is called in the GoogLeNet Inception Module, the plurality of modules may be combined into Inception Module GoogLeNet.
Reference material |
"Illustrates the depth of learning and neural networks: from tensor to achieve TensorFlow" _ Zhang Ping