<ul><li>torch.nn.Linear: Applies a linear transformation to incoming data by multiplying the input with a weight matrix and adding a bias.</li><li>Convolutional Layer: Applies convolutional filters to input data to extract spatial or temporal patterns.</li><li>Recurrent Layers: Used to handle sequential data by keeping information over time and learning temporal dependencies.</li><li>Embedding Layer: Converts input indices into dense vectors of fixed size, commonly used for representing discrete items.</li></ul>

9 PyTorch Layers You Must learn it

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