Next, we define all the network parameters:

1. Define the number of units in the hidden layer:

hidden_size = 100

2. Define the length of the input and output sequence:

seq_length = 25

3. Define the learning rate for gradient descent:

learning_rate = 1e-1

4. Set the seed value:

seed_value = 42
tf.set_random_seed(seed_value)
random.seed(seed_value)