Algorithm 2 presents the pseudo-code for computing GP. The regulariser GP is used in WGAN-GP, a more advanced version of WGAN. This helps to keep GAN training stable and reduces mode collapse (Zheng et al., 2022
The dead-time for the measurements was less than 10% and was corrected using a live-time algorithm. The HPGe detector was calibrated using a NIST traceable multi-gamma source purchased from Eckert and Zeigler. The atom density of 72Ge was determined from the measured 72Ga activity. The 70Ga...
However, the initial analysis using the CIBERSORT algorithm was limited to predefined cell patterns; hence, no conclusions about the involvement or dysfunctionality of specific cells can be made. The subsequent enrichment analysis was not limited to predefined immune-related pathways but includes the ...
]justifiestheempiricalsuccessofRLHFandprovidesnewinsightsforspecializedRLHFalgorithmdesignforlanguagemodels. 3.3Computing 3.3.1Hardware.Inrecentyears,therehavebeensignificanthardwareadvancementsthathavefacilitatedthetrainingoflarge-scalemodels.Inthepast,trainingalargeneuralnetworkusingCPUscouldtakeseveraldaysorevenweeks.Howe...
The hypothesis from this observation is that the detection of such small-sized facial skin problems with CNN models results in significantly low performance. To validate our hypothesis, CNN models using the Mask R-CNN algorithm [44] were trained to detect and visually segment 3 different types of...
The overall training process is described in the summary of Algorithm 1. Algorithm 1: Training procedure for DDGANSE. 1: for M epochs do 2: for m steps do 3: for r times do 4: Select b visible patches Iv1is, Iv2is . . . Ivbis ; 5: Select b infrared patches Ii1r, Ii2r ....
A 50-kW Air-Cooled SiC Inverter with 3-D Printing Enabled Power Module Packaging Structure and Genetic Algorithm Optimized Heatsinks. IEEE Trans. Ind. Appl. 2019, 55, 6256–6265. [Google Scholar] [CrossRef] Ning, P.; Liu, J.; Wang, D.; Zhang, Y.; Li, Y. Assessing the Fatigue ...
However, when the classical Levenberg–Marquardt (LM) algorithm is applied to optimize the transducer power gain function, the convergence speed and results are sensitive to the initial assignment of multiple independent variables; substituting with a more robust genetic or hybrid algorithm can help ...