17 lines
573 B
Python
17 lines
573 B
Python
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# # Sample Data Preparation
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# input_dim = 3 # Example input dimension
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# hidden_dim = 5 # Example hidden dimension
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# num_samples = 1000
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# sequence_length = 10
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# # Generate dummy data for training
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# X = np.random.randn(num_samples, input_dim, 1) # Shape (num_samples, input_dim, 1)
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# y = np.random.randn(
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# num_samples, hidden_dim, 1
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# ) # Shape (num_samples, hidden_dim, 1)
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# # Initialize and train the LSTM
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# lstm = LSTM(input_dim, hidden_dim)
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# lstm.train(X, y, num_epochs=10, learning_rate=0.01) |