why Keras 2D regression network has constant output
问题 I am working on the some kind of the 2D Regression Deep network with keras, but the network has constant output for every datasets, even I test with handmade dataset in this code I feed the network with a constant 2d values and the output is linear valu of the X (2*X/100) but the out put is constant. import resource import glob import gc rsrc = resource.RLIMIT_DATA soft, hard = resource.getrlimit(rsrc) print ('Soft limit starts as :', soft) resource.setrlimit(rsrc, (4 * 1024 * 1024 * 1024,