What is the difference between Variables and Placeholders?
devquora
Posted On: Feb 22, 2018
The major differences between Variables and Placeholders are
| S. No. | Criteria | Variables | Placeholders |
| 1. | Based on Usage | Variables are used to store the present as well as the past state of a graph. | Placeholders are used to feed external data into a graph and the data is assigned to a later date. |
| 2. | Based on declaration command | To declare a variable we use the tf.Variable() command. | To declare a placeholder tf.placeholder() command. |
| 3. | Based on the requirement of initialization | The variables are needed to be initialized before running the graph. | Initialization is not required in the case of the placeholders. |
Related Questions
Subscribe Our NewsLetter
Never Miss an Articles from us.
Recent Articles
Featured Categories
- Common Interview Questions
- Python Flask Interview Questions
- NoSQL Interview Questions
- jQuery Interview Questions
- C Programming Interview Questions
- AngularJs Interview Questions
- Node JS Interview Questions
- JavaScript Interview Questions
- Core Java Interview Questions
- HTML Interview Questions
- Laravel Interview Questions
- Wordpress Interview Questions
- PHP Interview Questions
TensorFlow Interview Questions
What is TensorFlow? Please Explain
TensorFlow is a platform where one can learn machine learning / deep learning/multilayer neural networks from the Google library. Libraries that use data science are helpful to describe complex networ...
TensorFlow Interview Questions
Enlist few major features of the TensorFlow.
Below are major features of TensorFlow:TensorFlow has the biggest ability is to build neural networks using which machines can develop logical thinking and learning analogous to humans. It is one...
TensorFlow Interview Questions
What are the tensors ? How many types of tensors are available?
Tensors can be thought of as vectors and matrices of higher dimensions. They represent n-dimensional arrays of base data-type. Each element of a tensor is of the same data-type which is always known. ...