Object recognition is the ability to find a specific object in a sequence of images or videos. This task is performed automatically by human beings, even in particularly complex scenarios. For machines, it represents the challenges of the future. In convolutional neural networks, the fields of different neurons are partially overlapped so that they cover the entire field of view altogether. The response of a single neuron to stimuli taking place in its receptive field can be mathematically approximated by a convolution operation. A CNN is a particular type of ANN, which used above all other models for the analysis of images and the application of graphic filters. CNNs eliminate the need for the manual extraction of features, as these are learned directly from CNN. They produce state-of-the-art recognition results...
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