I've read many tutorial about LSTM , but all of them use 1 timestep .
this is my code:
X_trainset = np.reshape(X_trainset, (X_trainset.shape, 1, X_trainset.shape)) for x in range(epoch): used_model.fit(X_trainset, y_trainset, epochs=1,batch_size=batch_size,verbose=2 ,shuffle=False)
i want to try to use 10 timestep but i dont know how to do that
in the past, i've read tutorial to do that in stackoverflow but, i cant find it anymore ( i forgot the keyword )