Patent ID: 11907834
Assignee: DEEPMENTOR INC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 25:
26. The computer system of claim 17, wherein:
the data-recognition model stored in said data storage (1) includes a hidden layer set including a plurality of hidden layers that are connected in series, each of the plurality of hidden layers including a plurality of neurons, each of the neurons having a weight matrix containing a plurality of weights; and
said processor (2) includes an inter-layer compression module (44) that is programmed to perform the step of
G) applying at least one golden sample to the data-recognition model, so as to obtain a plurality of outputs respectively from the neurons in the data-recognition model, and for each of the neurons included in each of the plurality of hidden layers, deleting the neuron from the data-recognition model when it is determined that the output of the neuron is substantially equal to zero and retaining the neuron when otherwise; and

said processor (2) further includes an intra-layer compression module (43) that is programmed to perform the step of
H) after step G), for each of the neurons included in the plurality of hidden layers,
calculating an average of the plurality of weights of the neuron and a variance of the plurality of weights,
when it is determined that a ratio between the average of the plurality of weights and the variance of the plurality of weights is larger than a predetermined threshold, keeping the weight matrix unchanged,
when it is determined that the ratio of the average of the plurality of weights and the variance of the plurality of weights is not larger than the predetermined threshold, calculating a reference value of the neuron based on the average of the plurality of weights and substituting the reference value for the weight matrix of the neuron.