import numpy as np
from keras.models import Sequential
from keras.layers import Dense, LSTM
 
# Input Sequence
data = np.array([77, 8, 31, 89, 13, 96, 53, 62, 99, 33, 91, 22, 62, 17, 82, 50, 66, 98, 26])
 
# Preprocessing Data
X = data[:-1].reshape(-1, 1, 1)  # Input
Y = data[1:].reshape(-1, 1)  # Output
 
# LSTM Model
model = Sequential()
model.add(LSTM(50, activation='relu', input_shape=(1, 1)))
model.add(Dense(1))
model.compile(optimizer='adam', loss='mse')
 
# Training
model.fit(X, Y, epochs=100, verbose=0)
 
# Prediction
new_sequence = np.array([62]).reshape(1, 1, 1)
predicted = model.predict(new_sequence)
print("Next Number Prediction:", predicted)

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