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목록CNNarchitecture (1)
개발로 하는 개발
CNN( = ConvNet) - sequence of layers - each layer of a ConvNet transforms one volue of activations to another through a differientable function - one volume of activations = activation map = feature map ReLU(nonlinear) layer : activates relevant responses Fully-Connected Layer : each neuron in a layer will be connected to all the numbers in the previous volume Pooling Layer : downsampling operat..
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2024. 2. 6. 17:26