我正在使用“ Imagenet”权重训练VGG16 CNN模型。从头训练模型时没有收敛。从另一台机器经过一个时期后，我就使用了保存的模型，并在此之上开始训练。可能是什么问题？
Using Learning Rate - 0.0001 / 0.001 ( Tried using both )
Training Images - RGB (1,00,000 images)
When training the model with Imagenet Pretrained weights from scratch there is no convergence. The training accuracy stands still (70%) after several epochs. The loss (88%) is not reducing.
When training the model with Imagenet Pretrained weights with a .h5 model ( Got from another machine after first epoch with the same configuration ) there was convergence. The accuracy raised epoch by epoch up to 90% & above and the loss reduced gradually.