resultEpoch1

output shape: (10, 1, 496, 496)
starting training...
Epoch #1: Loss = 7.70917e+07
Epoch #2: Loss = 7.78845e+07
Epoch #3: Loss = 7.79974e+07
Epoch #4: Loss = 8.11203e+07
Epoch #5: Loss = 7.49918e+07
Epoch #6: Loss = 7.55385e+07
Epoch #7: Loss = 7.6573e+07
Epoch #8: Loss = 7.77083e+07
Epoch #9: Loss = 7.62733e+07
Epoch #10: Loss = 8.02524e+07
Epoch #11: Loss = 7.48005e+07
Epoch #12: Loss = 7.64726e+07
Epoch #13: Loss = 8.06337e+07
Epoch #14: Loss = 7.63611e+07
Epoch #15: Loss = 8.10632e+07
Epoch #16: Loss = 7.89445e+07
Epoch #17: Loss = 8.15551e+07
Epoch #18: Loss = 7.91452e+07
Epoch #19: Loss = 7.91201e+07
Epoch #20: Loss = 7.985e+07
Epoch #21: Loss = 7.96835e+07
Epoch #22: Loss = 7.78466e+07
Epoch #23: Loss = 7.42006e+07
Epoch #24: Loss = 7.6001e+07
Epoch #25: Loss = 8.10452e+07
Epoch #26: Loss = 7.87329e+07
Epoch #27: Loss = 7.63171e+07
Epoch #28: Loss = 7.66832e+07
Epoch #29: Loss = 7.75483e+07
Epoch #30: Loss = 7.62792e+07
Epoch #31: Loss = 7.98378e+07
Epoch #32: Loss = 7.81871e+07
Epoch #33: Loss = 8.00533e+07
Epoch #34: Loss = 7.91744e+07
Epoch #35: Loss = 7.744e+07
Epoch #36: Loss = 7.73691e+07
Epoch #37: Loss = 7.54925e+07
Epoch #38: Loss = 8.09752e+07
Epoch #39: Loss = 7.25836e+07
Epoch #40: Loss = 7.52228e+07
Epoch #41: Loss = 7.42323e+07
Epoch #42: Loss = 7.31545e+07
Epoch #43: Loss = 8.05589e+07
Epoch #44: Loss = 7.41425e+07
Epoch #45: Loss = 7.56263e+07
Epoch #46: Loss = 7.55477e+07
Epoch #47: Loss = 8.12799e+07
Epoch #48: Loss = 7.21536e+07
Epoch #49: Loss = 7.93061e+07
Epoch #50: Loss = 7.62184e+07