Convolutional Neural Network - 國立臺灣大學

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Convolutional Neural NetworkHung-yi LeeCan the Network be simplified by considering the properties of images?Why CNN for Image Some patterns are much smaller than the whole imageA neuron does not have to see the whole image to discover the pattern. beak detectorConnecting to small region with less parametersWhy CNN for Image The same patterns appear in different regions. upper-left beak detector middle beak detectorThey can use the same set of almost the same thingWhy CNN for Image Subsamplingthe pixels will not change the objectsubsamplingbirdbirdWe can subsample the pixels to make image smallerLess parameters for the Network to process the imageThe whole CNNFully Connected Feedforward networkcat dog ......ConvolutionMax PoolingConvolutionMax PoolingFlattenCan repeat many timesThe whole CNNConvolutionMax PoolingConvolutionMax PoolingFlattenCan repeat many times Some patterns are much smaller than the whole image The same patterns appear in different regions.

Fully Connected Feedforward network output. ... object detection and semantic segmentation”, CVPR, 2014. Convolution Max Pooling Convolution Max Pooling input 25 3x3 filters 50 3x3 ... “Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps”, ICLR, 2014 | ...

  Network, Fully, Segmentation, Neural, Convolutional, Convolutional networks, Semantics, Convolutional neural networks, Semantic segmentation