One possible reason is the strides of the optimazer is too large, which couldn't cover the dip at zero time delay.
After set it to 1 the accuracy improves.
It's also because the data generated has a g2(0) close to the ground truth 0.5, which makes it harder for the classifier
One possible reason is the strides of the optimazer is too large, which couldn't cover the dip at zero time delay. After set it to 1 the accuracy improves. It's also because the data generated has a g2(0) close to the ground truth 0.5, which makes it harder for the classifier