# Why can't I reproduce my results in keras using random seed? [closed]

I was doing a task using RNN to predict a time series movement.

I want to make my results reproducible. So I strictly followed this post: https://stackoverflow.com/questions/32419510/how-to-get-reproducible-results-in-keras

My code are as follows:

# Seed value
# Apparently you may use different seed values at each stage
seed_value= 0

# 1. Set the PYTHONHASHSEED environment variable at a fixed value
import os
os.environ['PYTHONHASHSEED']=str(seed_value)

# 2. Set the python built-in pseudo-random generator at a fixed value
import random
random.seed(seed_value)

# 3. Set the numpy pseudo-random generator at a fixed value
import numpy as np
np.random.seed(seed_value)

tf.compat.v1.set_random_seed(seed_value)

tf.random.set_seed(seed_value)

# 5. Configure a new global tensorflow session

# for later versions: