Web Reference: Complex Valued Networks with PyTorch Artificial neural networks are mainly used for treating data encoded in real values, such as digitized images or sounds. In such systems, using complex-valued tensors would be quite useless. Whenever I have an ML/AI problem to solve with Python, I initially try to avoid using PyTorch, as I find it a bit verbose. I remember creating an AI algorithm using NumPy, then implementing the... out (Tensor) – If the inputs are torch.float32, must be torch.complex64. If the inputs are torch.float64, must be torch.complex128. Example: torch.complex - Documentation for PyTorch, part of the PyTorch ecosystem.
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