Pytorch, Pytorch Rnn, Pytorch Mnist Dataset, Build Model With Pytorch.
nn.CrossEntropyLoss() loss_func Output: CrossEntropyLoss() Define a Optimization Function lr(Learning Rate): Rate at which our model updates the weights in the cells each time back-propagation is done. from torch import optim optimizer = optim.Adam(model.parameters(), lr = 0.01) optimizer Output: