Answer / Sangeeta Maurya

To create a simple neural network in TensorFlow, follow these steps:

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

2. Define the input data and labels: `X_train` (input) and `y_train` (labels).

3. Create the model architecture using Sequential API:
- Add Dense layers with ReLU activation function for hidden layers.
- Add output layer with softmax activation function for multi-class classification problems.
- 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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