giuseppebonaccorso

import matplotlib.pyplot as plt
import numpy as np

from sklearn.datasets import make_regression

# Set random seed (for reproducibility)
np.random.seed(1000)

nb_samples = 500
nb_features = 4

giuseppebonaccorso

import cupy as cp
import matplotlib.pyplot as plt
import numpy as np

from sklearn.datasets import fetch_olivetti_faces

# Set random seed for reproducibility
np.random.seed(1000)
cp.random.seed(1000)

giuseppebonaccorso

import matplotlib.pyplot as plt
import multiprocessing
import numpy as np
import tensorflow as tf

from keras.datasets import cifar10

# Set random seed (for reproducibility)
np.random.seed(1000)
tf.set_random_seed(1000)