Tensorflow-Keras reproducibility problem on Google Colab

Question

I have a simple code to run on Google Colab (I use CPU mode):

import numpy as np
import pandas as pd

## LOAD DATASET

datatrain = pd.read_csv(\"gdrive/My Drive/         


        

Answer 1

You should also fix the seed for kernel_initializer in your Dense layers. So, your model will be like:

model = tf.keras.Sequential()
model.add(Dense(10, kernel_initializer=keras.initializers.glorot_uniform(seed=66), input_shape=(4,)))
model.add(Activation("sigmoid"))
model.add(Dense(3, kernel_initializer=keras.initializers.glorot_uniform(seed=66)))
model.add(Activation("softmax"))