Next, StandardScaler normalizes the features so they have a consistent scale, which helps neural networks train more efficiently. The data is then converted into PyTorch tensors so it can be used in model training. Finally, a DataLoader is created to feed the data in mini-batches (size 64) during training, improving efficiency and enabling stochastic gradient descent.
e) REPLY=101;; f) REPLY=102;; g) REPLY=103;; h) REPLY=104;;，这一点在WhatsApp网页版中也有详细论述
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1 апреля 2026, 11:59 Международные события，这一点在zoom下载中也有详细论述
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