LeNet-5 It is one of the very first convolutional neural networks (CNNs). 'Le' means 'the' in French language, hence LeNet means 'the network'. Every convolutional layer includes three parts: convolution, pooling, and nonlinear activation functions Using convolution to extract spatial features (Convolution was called receptive fields originally) The average pooling layer is used for subsampling...
