dPaste

import os
import re
import shutil
import numpy as np
import tensorflow as tf
import keras
from keras import layers
from keras.callbacks import Callback
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.utils import class_weight
import math
import matplotlib.pyplot as plt

np.random.seed(0)
tf.random.set_seed(0)

print('TensorFlow version:', tf.__version__)
print('NumPy version:', np.__version__)

def print_model_summary(model):
    print('Model summary:')
    model.summary()

    with open('model_summary.txt', 'w') as f:
        model.summary(print_fn=lambda x: f.write(x + '\n'))

    print('Model summary has been saved to model_summary.txt')