== solver.test_nets[0].blobs['label'].data) test_acc[it // test_interval] = correct / 1e4 先看loss function 和 test accuracy _,ax1=subplots()ax2=ax1.twinx()ax1.plot(arange(niter),train_loss)ax2.plot(test_interval*arange(len(test_acc)),test_acc,'r')ax1.set_xlabel('iteratio...