Home
Recent Q&A
Java
Cloud
JavaScript
Python
SQL
PHP
HTML
C++
Data Science
DBMS
Devops
Hadoop
Machine Learning
Azure
Blockchain
Devops
Ask a Question
What are the two layers of a Restricted Boltzmann Machine called?
Home
Deep Learning
What are the two layers of a Restricted Boltzmann Machine called?
+1
vote
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
recategorized
Feb 5, 2022
by
sharadyadav1986
What are the two layers of a Restricted Boltzmann Machine called?
Select the correct answer from below options
a) Input and Output Layers
b) Recurrent and Convolution Layers
c) Activation and Threshold Layers
d) Hidden and Visible Layers
#deeplearning
boltzmann-machine
Please
log in
or
register
to answer this question.
1
Answer
0
votes
answered
Jul 17, 2020
by
RShastri
Ans is
Hidden and Visible Layers
Related questions
+1
vote
Q: Restricted Boltzmann Machine expects the data to be labeled for Training.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
machine-data
0
votes
Q: What do you understand by Boltzmann Machine?
asked
Jun 12, 2021
in
Deep Learning
by
Robindeniel
boltzmann-machine
deep-leaning-boltzmann
0
votes
Q: All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
+1
vote
Q: A Deep Belief Network is a stack of Restricted Boltzmann Machines.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
+1
vote
Q: A Shallow Neural Network has only one hidden layer between Input and Output layers.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
+1
vote
Q: Process of improving the accuracy of a Neural Network is called _______________.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
neural-network
+1
vote
Q: The rate at which cost changes with respect to weight or bias is called __________________.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
0
votes
Q: The measure of Difference between two probability distributions is know as ________________________.
asked
Jul 18, 2020
in
Deep Learning
by
Hodge
#deeplearning
distributions
0
votes
Q: Gradient at a given layer is the product of all gradients at the previous layers.
asked
Jul 16, 2020
in
Sequence Models
by
RShastri
#deeplearning
#gradle
+1
vote
Q: Support Vector Machines, Naive Bayes and Logistic Regression are used for solving ___________________ problems.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
naive-bayes
...
