Hi Guest

MobileUser

1 HomePage 1 Jobs 1 WalkIn 1Articles  

Cat Exam

 :) Latest Topic
AJAX
VB.NET
SQL Query
UDDI
CLASS
JavaScript Questions
SharePoint Interview
SilverLight
WCF
general knowledge
 ASP.NET
 :) Hot Jobs
 
 :) Latest Articles


  

 


Computing softmax activation can be skipped when using nn.CrossEntropyLoss.
Question Posted on 20 Jan 2021

Home >> Frameworks >> PyTorch >> Computing softmax activation can be skipped when using nn.CrossEntropyLoss.




Computing softmax activation can be skipped when using nn.CrossEntropyLoss.
Please choose the correct option from below list
(1)True
(2)False

Answer:-(1)True
0
0



 
 Input Your Comments Or suggestions(If Any)
 Name
 Email(optional)
 Comments


Other Important Questions
On max pooling image of shape 20 x 20 using filter 4 x 4 and stride = 2, what will be the shape of the output?
While operating on Tensors a function name followed by underscore means ___________.
Which of the following function is used to move the Tensors from CPU to GPU?
If the shape of the Tensor is 2 x 1 x 3 x 1, performing torch.sqeeze() will output Tensor of shape _______.
Computing softmax activation can be skipped when using nn.CrossEntropyLoss.






 
Top Searches:asp net questions vb net questions sql query uddl questions class javascript Questions sharepoint interview questions and concept silverlight questions and concept wcf questions beans general knowledge ajax questions
PHP | Biztalk | Testing | SAP | HR |