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Why is the 3rd layer not fully connected in this example?
Here is an interactive example of the work of a convolutional neural network: scs.ryerson.ca/~aharley/vis/conv
Why in this example the 3rd layer is not fully connected and how did you determine which feature matrices to connect with each other and which not?
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Maybe they did Dropout so as not to retrain https://www.cs.toronto.edu/~hinton/absps/JMLRdropo...
This is "Downsampling layer 1" aka pooling:
https://en.wikipedia.org/wiki/Convolutional_neural...
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