finlay-liu

import tensorflow as tf
from keras.metrics import categorical_accuracy as accuracy
sess = tf.Session()

from keras import backend as K
K.set_session(sess)

img = tf.placeholder(tf.float32, shape=(None, 784))

from keras.layers import Dense

finlay-liu

# -*- coding: utf-8 -*-
import os, sys, codecs
import glob

import numpy as np

import cv2
import imagehash
from PIL import Image

finlay-liu

#!/usr/bin/env python
# -*- coding:UTF-8 -*-

import torch
import torch.nn as nn
import torch.nn.init as init


def weight_init(m):
    '''