text: import numpy as np
  import matplotlib.pyplot as plt
  import os
  
  np.random.seed(0)
  
  DIR = os.path.dirname(os.path.abspath(__file__)) + '/SavedNetwork/FashionMnistCNN/'
  filters = np.load(DIR + 'learnable_W2.npy')
  N, C, H, W = filters.shape
  
  h, w = 5, 5
  fig = plt.figure()
  
  cnt = 1
  isBreak = False
  
  for i in range(N):
  	for j in range(C):
  		fig.add_subplot(h, w, cnt)
  		plt.imshow(filters[i, j])
  		print(cnt)
  		cnt+=1
  		if(h*w<cnt):
  			isBreak = True
  			break
  
  	if(isBreak == True):
  		break
  
  plt.show()