Deep learning face questions 18: network of networks structures (Network in Network)

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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.

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"Illustrates the depth of learning and neural networks: from tensor to achieve TensorFlow" _ Zhang Ping

 

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Origin www.cnblogs.com/itmorn/p/11223366.html