Questions about cross-entropy
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Accuracy 0% for binary classification
I am using the OpenFL framework for doing Federated Learning experiments. I run their tutorial notebooks without problems, so for example I am able to run classification on MNIST and everything is ok....
CasellaJr
Votes: 0
Answers: 1
How can I separate the the binary cross entropy loss with and add weight for different class/label?
I am trying custom the binary cross entropy loss from the paper by Pytroch, but I meet some problems here. I am not sure how can I use Pytorch here to get the target y when I let predict label (sigmoi...
Bertie
Votes: 0
Answers: 1
Is it possible to use PyTorch's `BatchNorm1d` with `BCELossWithLogits`?
I am attempting to normalize the outputs of my classifier that uses BCELossWithLogits as part of its loss function. As far as I know, this implements Sigmoid function internally and outputs the loss.
...
c21253
Votes: 0
Answers: 1
RuntimeError: 0D or 1D target tensor expected, multi-target not supported I was training a deep learning model but i am getting this issue
*My Training Model*
def train(model,criterion,optimizer,iters):
epoch = iters
train_loss = []
validaion_loss = []
train_acc = []
validation_acc = []
states = ['Train','Valid']
...
Helloworld8688
Votes: 0
Answers: 3