I learned about the main problems that can be solved with recurring networks; Understood the data flow in an RNN; I learned about the advantages of the PyTorch framework for manipulating sequences; Implement solutions with advanced architectures such as LSTM and GRU; I learned the basics of word processing. In addition to working with the Torchtext package with datasets, pre-trained models and tools for textual data.
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Recurrent Neural Networks: Deep Learning with Pytorch
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