data-and-data

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How it works: How the implementation in PyTorch looks like:   Rule of thumb: The more accurate the network, the smaller the loss. reference: Datacamp's Introduction to Deep Learning with PyTorch

First thing, import torch and torch.nn In the next steps, define a random input tensor with the shape of (2,3). See the difference when softmax is applied on the dimension-0 (dim=0) and dimension-1 (dim=1). Hope this helps. reference:  https://pytorch.org/docs/stable/generated/torch.nn.Softmax.html