What's the difference between tf.Session() and tf.InteractiveSession()?

Question

In which cases should tf.Session() and tf.InteractiveSession() be considered for what purpose?

When I tried to use the former one, some fun

Answer 1

Rather than above mentioned differences - the most important difference is with session.run() we can fetch values of multiple tensors in one step.

For example:

num1 = tf.constant(5)
num2 = tf.constant(10)
num3 = tf.multiply(num1,num2)
model = tf.global_variables_initializer()

session = tf.Session()
session.run(model)

print(session.run([num2, num1, num3]))