CNN

Convolution Neural Network(CNN)\

• Ability of System to start understanding contents of images so that the system can decide based on image classification.
• Example Self Driving Cars use Computer Vision to Drive
• Insurance claims can be done from pictures.
• Better accuracy than Shallow Network.
• System convolves the image and checks pixel by pixel an keeps track of important pixels.
• It organizes pixels in a block.
• There are 2 layers used in this Convolutional Layer and Max pooling layer.
• In Convolutional layer we convolve based on the filter size i.e. block and keep extracting right values.
• From this convolved values then we extract features further and call it as max pooling.
• All this involves matrix multiplication
• The Sub Sampling is Convolving

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