Deep Learning, Data Science, Machine Learning, Artificial Intelligence, Python.
Instantiate the model and define loss and optimizer model = LSTMClassifier(input_size, hidden_size, output_size) criterion = nn.CrossEntropyLoss() optimizer = optim.Adam(model.parameters(), lr=learning_rate) # Train the model for epoch in range(num_epochs): optimizer.zero_grad() output =