dhanushkamath

import numpy as np

from keras.preprocessing.image import ImageDataGenerator
from keras.layers import Input, Conv2D, Flatten, Dense, Conv2DTranspose, Reshape, Lambda, Activation, BatchNormalization, LeakyReLU, Dropout
from keras.models import Model
from keras import backend as K
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint 
from keras.utils import plot_model

dhanushkamath

from google.colab import files
files.upload()

dhanushkamath

import os
from glob import glob

WEIGHTS_FOLDER = './weights/'
DATA_FOLDER = './data/img_align_celeba/'

if not os.path.exists(WEIGHTS_FOLDER):
  os.makedirs(os.path.join(WEIGHTS_FOLDER,"AE"))
  os.makedirs(os.path.join(WEIGHTS_FOLDER,"VAE"))