The tf.add() function takes two numbers, two tensors, or one of each, and it returns their sum as a tensor:
Additionx = tf.add(1, 2, name=None) # 3
Here's an example with subtraction and multiplication:
x = tf.subtract(1, 2,name=None) # -1y = tf.multiply(2, 5,name=None) # 10
What if we want to use a non-constant? How to feed an input dataset to TensorFlow? For this, TensorFlow provides an API, tf.placeholder(), and uses feed_dict.
A placeholder is a variable that data is assigned to later in the tf.session.run() function. With the help of this, our operations can be created and we can build our computational graph without needing the data. Afterwards, this data is fed into the graph through these placeholders with ...
