你要的答案或許都在這裡：小鵬的部落格目錄

直接看程式碼和圖示吧：

# coding=utf-8


import tensorflow as tf
import os
import tarfile
import requests

'''
inception_pretrain_model_url = 'http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz'
 
# 下載inception pretrain模型
inception_pretrain_model_dir = "inception_pretrain"
if not os.path.exists(inception_pretrain_model_dir):
	os.makedirs(inception_pretrain_model_dir)
 
filename = inception_pretrain_model_url.split('/')[-1]
filepath = os.path.join(inception_pretrain_model_dir, filename)
 
if not os.path.exists(filepath):
	print("開始下載: ", filename)
	r = requests.get(inception_pretrain_model_url, stream=True)
	with open(filepath, 'wb') as f:
		for chunk in r.iter_content(chunk_size=1024):
			if chunk:
				f.write(chunk)
 
print("下載完成, 開始解壓: ", filename)
tarfile.open(filepath, 'r:gz').extractall(inception_pretrain_model_dir)
 
# TensorBoard log目錄
log_dir = 'inception_log'
if not os.path.exists(log_dir):
	os.makedirs(log_dir)'''
 
inception_pretrain_model_dir = "inception_pretrain"
if not os.path.exists(inception_pretrain_model_dir):
	os.makedirs(inception_pretrain_model_dir)
# TensorBoard log目錄
log_dir = 'inception_log'
if not os.path.exists(log_dir):
	os.makedirs(log_dir)
# 載入inception graph
inception_graph_def_file = os.path.join(inception_pretrain_model_dir, 'my_inception_v4_freeze.pb')
with tf.Session() as sess:
	with tf.gfile.FastGFile(inception_graph_def_file, 'rb') as f:
		graph_def = tf.GraphDef()
		graph_def.ParseFromString(f.read())
		tf.import_graph_def(graph_def, name='')
	writer = tf.summary.FileWriter(log_dir, sess.graph)
	writer.close()
 

使用tensorboard檢視：

tensorboard --logdir inception_log

圖示：