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0
votes
What are the applications of transfer learning in Deep Learning?
answered
Nov 2, 2020
in
Data Handling
#deep-learning
DataHandling-questions-answers
0
votes
What do you mean by exploding and vanishing gradients in Deep learning?
answered
Nov 2, 2020
in
Data Handling
#deep
learning
DataHandling-questions-answers
0
votes
What’s the difference between valid and same padding in a CNN(deep learning)?
answered
Nov 2, 2020
in
Data Handling
#deep-learning
DataHandling-questions-answers
0
votes
In a CNN, if the input size 5 X 5 and the filter size is 7 X 7, then what would be the size of the output in Deep learning?
answered
Nov 2, 2020
in
Data Handling
#deep-learning
DataHandling-questions-answers
0
votes
Why do RNNs work better with text data in Deep learning?
answered
Nov 2, 2020
in
Data Handling
#deep-learning
DataHandling-questions-answers
0
votes
Why does a Convolutional Neural Network (CNN) work better with image data?
answered
Nov 2, 2020
in
Data Handling
#deep-learning
DataHandling-questions-answers
0
votes
List the activation functions you have used so far in your projects and how you would choose one.
answered
Nov 2, 2020
in
Data Handling
#digitallearning
DataHandling-questions-answers
0
votes
Why should we use Batch Normalization?
answered
Nov 2, 2020
in
Data Handling
#digitallearning
DataHandling-questions-answers
0
votes
What are the common data structures used in Deep Learning?
answered
Nov 2, 2020
in
Data Science
#digitallearning
0
votes
How does forward propagation and backpropagation work in deep learning?
answered
Nov 2, 2020
in
Data Handling
#digitallearning
DataHandling-questions-answers
0
votes
What is the role of weights and bias in a neural network?
answered
Nov 2, 2020
in
Data Science
#digitallearning
0
votes
List the supervised and unsupervised tasks in Deep Learning.
answered
Nov 2, 2020
in
Data Handling
#deep-learning
datahandling-questions-answers
0
votes
In a neural network, what if all the weights are initialized with the same value?
answered
Nov 2, 2020
in
Data Handling
#digital-learning
DataHandling-questions-answers
0
votes
What if we do not use any activation function(s) in a neural network?
answered
Nov 2, 2020
in
Data Handling
#digtal-learning
DataHandling-questions-answers
0
votes
Can we have the same bias for all neurons of a hidden layer?
answered
Nov 2, 2020
#digital-learning
0
votes
What is the difference between a Perceptron and Logistic Regression in Digital learning?
answered
Nov 2, 2020
in
Data Handling
#digital-learning
datahandling-questions-answers
0
votes
Explain the branching strategies you have used?
answered
Nov 2, 2020
in
Git
#git
0
votes
While creating Bayesian Network what is the consequence between a node and its predecessors?
answered
Oct 29, 2020
in
Artificial Intelligence
#ai
0
votes
For building a Bayes model how many terms are required?
answered
Oct 29, 2020
in
Artificial Intelligence
#ai
0
votes
In ‘Artificial Intelligence’ where you can use the Bayes rule?
answered
Oct 29, 2020
in
Artificial Intelligence
#bayes-rules
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