Convolutional Neural Network
Rawimage->convolution->ReLU->Pool->convolution->ReLU->Pool->FC->softmax Convolution: Convolution is a mathematical way of combining two signals to form a third signal . It is the single most important technique in Digital Signal Processing. Using the strategy of impulse decomposition, systems are described by a signal called the impulse response. This is an interesting blog on convolution of Images : http://www.songho.ca/dsp/convolution/convolution.html#convolution_2d Hence, Input Image *(convolution)* Kernel = New form of Image ( blurring, sharpening, embossing, edge detection , and more ) Kernel ( image processing ) ... In image processing , a kernel , convolution matrix, or mask is a small matrix. It is used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between a kernel and an image . The kernel is described here : See the Animation http://set