what is CNN actually learning and why previous full model training didn’t work

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what is CNN actually learning and why previous full model training didn’t work

76:24 - 82:32 what is CNN actually learning and why previous full model training didn’t work what is the plot of layer 1? - coefficients? weights? filters - finding some basic shapes what are the plots of layer 2? - 16 filters - each filter is good at finding one type of pattern What are the plots of layer3? - 12 filters - each is more complex patterns What are inside plots of layer4 and layer 5? - filters to find out even more complex patterns using previous layer patterns Which layer’s filter pattern can be improved? - less likely for layer 1 - maybe not layer 4-5 - probably much later layers should be changed to some extent Why the previous full model train won’t work? - the same learning rate is applied to earlier and later layers 目录 Lesson 1 知识点分解