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Challenge: Building an LSTM for Sentiment Analysis

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Define the SentimentLSTM class, completing its __init__ method to set up the nn.Embedding, nn.LSTM, and nn.Linear layers, and implement its forward method to process input sequences.
Instantiate the SentimentLSTM model, then define the nn.BCEWithLogitsLoss criterion and torch.optim.Adam optimizer.
Implement the training and evaluation loops, including forward and backward passes, parameter updates, and accuracy calculation.

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Section 4. Chapter 5

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