nn.Softmax is a class. You can use it like this: import torch x = torch.tensor([10., 3., 8.]) softmax = torch.nn.Softmax(dim=0) probs ... ... <看更多>

The function torch.nn.functional.softmax takes two parameters: input and dim . According to its documentation, the softmax operation is ... ... <看更多>

local SoftMax, _ = torch.class('nn.SoftMax', 'nn.Module') function SoftMax:updateOutput(input) input.THNN.SoftMax_updateOutput( input:cdata() ... ... <看更多>

Whether you need a softmax layer to train a neural network in PyTorch will depend on what loss function you use. If you use the torch.nn. ... <看更多>

In PyTorch you would use torch.nn.Softmax(dim=None) to compute softmax of the n-dimensional input tensor. Here I am rescaling the input ... ... <看更多>

PyTorch Zero To All Lecture by Sung Kim [email protected] at HKUST Code: https://github.com/hunkim/PyTorchZeroToAll Slides: ... ... <看更多>