Known for its flexibility, ease of use, and GPU acceleration, PyTorch is widely adopted in both research and industry. Its dynamic computation graph helps developers build and modify models on the ...

PyTorch recreates the graph on the fly at each ... In PyTorch, you compute the gradient using backpropagation (backprop) by calling the tensor’s backward() method, as shown in this animation ...

2. Easy to debug PyTorch supports dynamic computation graphs, which allows developers to build and modify them on the fly.