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CNNs: https://labs.septeni-technology.jp/technote/ml-18-convolution-neural-network-part1/ https://labs.septeni-technology.jp/technote/ml-19-convolution-neural-network-part2/ https://labs.septeni-technology.jp/technote/ml-20-convolution-neural-network-part3/ I. Intro 1.Problem with fully-connected Neural Network (ANN): 2.Solution with weight sharing: 3.Introduction of Convolution Neural Network (CNN): 4.What is tensor: II. CNNs 1. Integral (T�ch ph�n): 2. Integral in statistic: 3. What is convolution: 4. Intuition of convolution: 1. Convolution Layer: 2. Pooling Layer: 3. Fully-Connected Layer: 4. Variety of CNNs :