連結如下：

英文

Question：

Questions says everything, for taking sess= tf.Session() and sess=tf.InteractiveSession() which cases should be considered for what purpose ? When I am using former one some function didn't work and when changed to the later it worked (for example .eval()).

Answer：

Mainly taken from

The only difference with a regular Session is that an InteractiveSession installs itself as the default session on construction. The methods Tensor.eval() and Operation.run() will use that session to run ops.

This allows to use interactive context, like shell, as it avoids having to pass an explicit Session object to run op:

sess = tf.InteractiveSession()
a = tf.constant(5.0)
b = tf.constant(6.0)
c = a * b
# We can just use 'c.eval()' without passing 'sess'
print(c.eval())
sess.close()

It is also possible to say, thatInteractiveSessionsupports less typing, as allows to run variables without needing to constantly refer to the session object.

中文

答案：

唯一的區別在於：tf.InteractiveSession()載入它自身作為預設構建的session，tensor.eval()和operation.run()取決於預設的session.

換句話說：InteractiveSession 輸入的程式碼少，原因就是它允許變數不需要使用session就可以產生結構。