answersLogoWhite

0

In PyTorch, the most commonly used cell types are torch.nn.Module for building neural network architectures and torch.nn.LSTM, torch.nn.RNN, and torch.nn.GRU for implementing recurrent neural networks. These cells are essential for tasks involving sequential data, such as time series analysis and natural language processing. Additionally, torch.Tensor is fundamental for representing data and performing operations within the framework.

User Avatar

AnswerBot

1mo ago

What else can I help you with?