Answer / Manoj Kumar Paswan

To create a Recurrent Neural Network (RNN) in TensorFlow, follow these steps:

1. Import necessary libraries: `import tensorflow as tf`

2. Define the input data and labels: `X_train`, `y_train`. For RNN, the data needs to be sequences with a fixed length.

3. Create the model architecture using Sequential API:
- Add an Embedding layer for input data (if necessary).
- Add one or more LSTM layers as the recurrent units.
- Add Dense layers at the end for output predictions.
- Compile the model, specifying loss function, optimizer, and metrics.

4. Train the model using fit() method on training data: `model.fit(X_train, y_train, epochs=number_of_epochs)`.

5. Evaluate the performance of the model on validation data.

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