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How can we create variable scopes in tensor flow?
tf.variable_scope(, params)
tf.scope_variable(, params)
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1 Introduction to Deep Learning
2 Recap of End-to-end Machine Learning Project
3 TensorFlow - Session 01
4 TensorFlow - Session 02
5 What is tensorflow library in python used for?...
6 Who developed the tensorflow library in python?...
7 Is TensorFlow capable of parallel computation?...
8 Does TensorFlow support distributed computing?...
9 What is the tool used to visualize the tensor flow...
10 Which is these task is done in a tensorflow session?...
11 How do you create a variable in tensorflow?...
12 Which of these will you use to initialize all the...
13 Global initializer initilizes all the variables immediately?...
14 Global initializer creates a node in a graph that will...
15 What are the two phases after the tensor flow program...
16 In which phase is the tensor model paramters calculated?...
17 A tensorFlow variable, when created, is by default added to...
18 Which of the following commands shall create a graph different...
19 Constants and variables, unlike addition and multiplication, take no inputs...
20 The input and output mutlidimensional arrays are called:...
21 Constants, like variables, need to be initialized in a tensorflow...
22 In tensor flow, placeholders are used mostly for inputs and...
23 What is the main benefit of using tensorflow over normal...
24 Which of these method does the TensorFlow's gradients() function use...
25 What are the parameters the gradients function use:...
26 Which of these do we use to feed the data...
27 Which of these commands can be used check if the...
28 What do we use to group similar nodes?...
29 How do we define a scope to a group of...
30 What function does tensorflow provide to share variables?...
31 How can we create variable scopes in tensor flow?...
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