what the bars in keras training show?

Issue I am using keras and part of my network and parameters are as follows: parser.add_argument(“–batch_size”, default=396, type=int, help=”batch size”) parser.add_argument(“–n_epochs”, default=10, type=int, help=”number of epoch”) parser.add_argument(“–epoch_steps”, default=10, type=int, help=”number of epoch step”) parser.add_argument(“–val_steps”, default=4, type=int, help=”number of valdation step”)

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PyTorch DataLoader shuffle

Issue I did an experiment and I did not get the result I was expecting. For the first part, I am using trainloader = torch.utils.data.DataLoader(trainset, batch_size=128, shuffle=False, num_workers=0) I save trainloader.dataset.targets to the variable a, and trainloader.dataset.data to the variable

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PyTorch NN not training

Issue I have a bespoke NN model which works and wanted to move it to the PyTorch framework. However, the network is not training likely due to some misconfiguration. Please advise if you see something that is odd/wrong or could

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