011-lec-003. application using cnn @ LeNet-5 32*32 image, 5*5 filter, 1 stride, 6 filters $$$\rightarrow$$$1st convolution layer$$$\rightarrow$$$ output will be 28*28*6images 28*28*6images, 2*2 filter, 2 stride $$$\rightarrow$$$1st pooling$$$\rightarrow$$$ output will be 14*14*6imgaes 14*14*6images, 5*5 filter, 1 stride, 6 filters $$$\rightarrow$$$2nd convolution$$$\rightarrow$$$ output will be 10*10*16images 16@10*10 image, 2*2 filter, 2 stride $$$\rightarrow$$$2nd pooling$$$\rightarrow$$$ output will be 5*5*16images 5*5*16images $$$\rightarrow$$$fully connectioned layer$$$\rightarrow$$$