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Recent questions tagged #deeplearning
0
votes
1
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Autoencoders cannot be used for Dimensionality Reduction.
asked
Jul 18, 2020
in
Sequence Models
by
Hodge
#deeplearning
autoencoders
0
votes
1
answer
De-noising and Contractive are examples of __________________.
asked
Jul 18, 2020
in
Other
by
Hodge
#deeplearning
0
votes
1
answer
How do RNTS interpret words?
asked
Jul 18, 2020
in
Sequence Models
by
Hodge
#deeplearning
rnts-work
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1
answer
Autoencoders are trained using _____________________.
asked
Jul 18, 2020
in
Sequence Models
by
Hodge
#deeplearning
0
votes
1
answer
The rate at which cost changes with respect to weight or bias is called __________________.
asked
Jul 18, 2020
in
Sequence Models
by
Hodge
#deeplearning
bias-weight
0
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1
answer
A _________________ matches or surpasses the output of an individual neuron to a visual stimuli.
asked
Jul 18, 2020
in
Sequence Models
by
Hodge
#deeplearning
sequence-model
0
votes
1
answer
The measure of Difference between two probability distributions is know as ________________________.
asked
Jul 18, 2020
in
Deep Learning
by
Hodge
#deeplearning
distributions
+1
vote
1
answer
What are the two layers of a Restricted Boltzmann Machine called?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
boltzmann-machine
+1
vote
1
answer
Why is the Pooling Layer used in a Convolution Neural Network?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
convolution-neural-network
+1
vote
1
answer
RELU stands for ______________________________.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
relu
+1
vote
1
answer
What is the best Neural Network Model for Temporal Data?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
neural-network
+1
vote
1
answer
Restricted Boltzmann Machine expects the data to be labeled for Training.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
machine-data
+1
vote
1
answer
A Deep Belief Network is a stack of Restricted Boltzmann Machines.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
+1
vote
1
answer
Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
recurrent-network
+1
vote
1
answer
What is the method to overcome the Decay of Information through time in RNN known as?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
decay-information
+1
vote
1
answer
All the neurons in a convolution layer have different Weights and Biases.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
0
votes
1
answer
All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
0
votes
1
answer
What does LSTM stand for?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
lstm
+1
vote
1
answer
The rate at which cost changes with respect to weight or bias is called __________________.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
+1
vote
1
answer
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
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