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There is a little hard to guess why the case (I mean, upper case versus lower case) of constructors for variable, placeholder and constant is not the same, as below: tf.Variable(), tf.placeholder(), tf.constant().
What is the inherent difference between the variable method and the rest, that is start with an upper case letter?
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In TensorFlow the differences between constants and variables are that when you declare some constant, its value can't be changed in the future (also the initialization should be with a value, not with operation). Nevertheless, when you declare a Variable, you can change its value in the future with tf.
tf. constant is useful for asserting that the value can be embedded that way. If the argument dtype is not specified, then the type is inferred from the type of value . # Constant 1-D Tensor from a python list.
Variables can only contain upper and lowercase letters (Python is case-sensitive) and _ (the underscore character). Hence, because we can't have spaces in variable names a common convention is to capitalize the first letter of every word after the first. For example, myName, or debtAmountWithInterest.
A tf. Variable represents a tensor whose value can be changed by running ops on it. Specific ops allow you to read and modify the values of this tensor. Higher level libraries like tf.
tf.constant() and tf.placeholder() are nodes in the graph (ops or operations). On the other hand tf.Variable() is a class.
And in PEP8 python style guide:
Class names should normally use the CapWords convention.
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