๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ

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[PyTorch] ํŒŒ์ดํ† ์น˜๋กœ ์„ ํ˜•ํšŒ๊ท€ ๊ตฌํ˜„ํ•˜๊ธฐ / nn.Module [PyTorch] ํŒŒ์ดํ† ์น˜๋กœ ์„ ํ˜•ํšŒ๊ท€ ๊ตฌํ˜„ํ•˜๊ธฐ,nn.Module Import import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim torch: ํ…์„œ๋ฅผ ์ƒ์„ฑํ•˜๋Š” ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ torch.autograd: ์ž๋™๋ฏธ๋ถ„ ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•˜๋Š” ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ torch.nn: ์‹ ๊ฒฝ๋ง์„ ์ƒ์„ฑํ•˜๋Š” ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ torch.multiprocessing: ๋ณ‘๋Ÿด์ฒ˜๋ฆฌ ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•˜๋Š” ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ torch.utils: ๋ฐ์ดํ„ฐ ์กฐ์ž‘ ๋“ฑ ์œ ํ‹ธ๋ฆฌํ‹ฐ ๊ธฐ๋Šฅ ์ œ๊ณต torch.legacy(./nn/.optim): Torch๋กœ๋ถ€ํ„ฐ ํฌํŒ…ํ•ด์˜จ ์ฝ”๋“œ torch.onnx: ONNX(Open Neural Network Exchange) ์„œ๋กœ ๋‹ค๋ฅธ ํ”„๋ ˆ์ž„.. 2022. 11. 19.
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