gradients

Gradient tensors (.grad) computed for model parameters during the backward pass.

Programming How PyTorch backward() Propagates Gradients to Params

Technical explanation of how PyTorch autograd and backward() build the dynamic graph and accumulate gradients into linear layer weights and biases for SGD.

#pytorch
#autograd
#backpropagation
#gradients
#linear

1 answer• 1 view

01/13/2026, 10:22 AM