We evaluate several neural-network architectures. both convolutional and recurrent. for gravitational-wave time-series feature extraction by performing point parameter estimation on noisy waveforms from binary-black-hole mergers. We build datasets of 100 000 elements for each of four different waveform models (or approximants) in order to test how approximant choice affects feature ex... https://www.ngetikin.com/limited-value-Sapatilha-Infantil-Pampili-Bailarina-Laco-Duplo-Glitter-Prata-great-pick/