Information processing apparatus, system and method
An information processing device and acquisition device technology, applied in the field of information processing, can solve problems such as time-consuming, labor-intensive, and low accuracy
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Embodiment 1
[0122] The information processing device of this embodiment is used to score a group of test papers containing one or more key features acquired by the character recognition device in the information acquisition device. The key features in the test paper are keywords. Operation, the output neuron of the final output layer of the artificial neural network chip outputs the judgment result, the judgment result is the confidence degree of the key feature of the test paper, that is, the confidence degree of the keyword appearance, the confidence degree is a natural number within a certain range, and the confidence degree is within a certain range. Between [0,1], it represents the probability of key features appearing; that is, the higher the confidence, the greater the probability of the keyword appearing. Confidence is binarized {0,1}, 0 means no key features appear, 1 means key features appear, or 1 means no key features appear, 0 means key features appear; the representation of c...
Embodiment 2
[0136] The information processing apparatus of this embodiment is used for scoring a video, where a video is a group of pictures including one or more key features. The storage module in the artificial neural network chip pre-stores one or more key pictures; the storage module acquires video from the outside and transmits it to the computing module, and the output of the final output layer of the artificial neural network chip is obtained through the calculation of the artificial neural network chip. The neuron outputs the judgment result, which is the similarity between each input picture and each key picture. In detail, if there are N input pictures and M key pictures, then NM similarities are obtained. The similarity in this embodiment is the confidence degree, which is a natural number within a certain range, and the confidence degree is between [0,1], indicating the probability of key features appearing; the confidence degree is binarized {0,1}, and 0 represents No key fe...
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