November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Variables
In the previous sections, we learned how to define tensor objects of different types, such as constants, operations, and placeholders. The values of parameters need to be held in an updatable memory location while building and training models with TensorFlow. Such updatable memory locations for tensors are known as variables in TensorFlow.
To summarize this, TensorFlow variables are tensor objects in that their values can be modified during the execution of the program.
Although tf.Variable seems to be similar to tf.placeholder, they have certain differences. These are listed in the following table:
|
tf.placeholder |
tf.Variable |
|
tf.placeholder defines the input data that does not get updated over time |
tf.Variable defines ... |
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