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The input image has been transformed into a 28 x 28 matrix and a 7 x 7 kernel/filter with a stride of 1. What will the convoluted matrix's size be?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
1
answer
Which of the following gives non linearity to a neural network?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
neural-network
0
votes
1
answer
Explain the different types of activation functions.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
activation-functions
0
votes
1
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Differentiate between Deep Learning and Machine Learning.
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Dec 13, 2022
in
Deep Learning
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Robindeniel
deep-learning
machine-learning
+1
vote
1
answer
What do you know about Dropout?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
dropout
deep-learning
0
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1
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Mention the applications of autoencoders.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
encoders
applications
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1
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What are autoencoders? Explain the different layers of autoencoders.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
autoencoders
0
votes
1
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What exactly do you mean by exploding and vanishing gradients?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
vanishing-gradients
0
votes
1
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How does Recurrent Neural Network backpropagation vary from Artificial Neural Network backpropagation?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
1
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Differentiate between bias and variance in the context of deep learning models. How can you achieve balance between the two?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-leanring
0
votes
1
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According to you, which one is more powerful - a two layer neural network without any activation function or a two layer decision tree?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
1
answer
Can a deep learning model be solely built on linear regression?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
1
answer
While building a neural network architecture, how will you decide how many neurons and the hidden layers should the neural network have?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
neural-network
0
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1
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What do you mean by an epochs in the context of deep learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
epochs
deep-learning
0
votes
1
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What is an activation function? What is the use of an activation function?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
activation-function
0
votes
1
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Which deep learning algorithm is the best for face detection?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
1
answer
Explain Stochastic Gradient Descent. How is it different from Batch Gradient Descent?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
stochastic-gradient-descent
0
votes
1
answer
Explain Batch Gradient Descent.
asked
Dec 12, 2022
in
Deep Learning
by
Robin
batch-gradient-descent
0
votes
1
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In a Convolutional Neural Network (CNN), how can you fix the constant validation accuracy?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
convolutional-neural-network
0
votes
1
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Explain the difference between a shallow network and a deep network.
asked
Dec 12, 2022
in
Deep Learning
by
Robin
shallow-network
deep-network
0
votes
1
answer
What is a tensor in deep learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
tensor
deep-learning
0
votes
1
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Is it possible to train a neural network model by setting all biases to 0? Also, is it possible to train a neural network model by setting all of the weights to 0?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
1
answer
What are the advantages of transfer learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
transfer-learning
0
votes
1
answer
Explain Data Normalisation. What is the need for it?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
data-normalisation
0
votes
1
answer
What is transfer learning in the context of deep learning.
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
transfer-learning
0
votes
1
answer
What are the Difference between multi-class and multi-label classification problems.
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
deep-learning
0
votes
1
answer
What do you mean by hyperparameters in the context of deep learning?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
hyperparameters
deep-learning
0
votes
1
answer
What are the different techniques to achieve data normalization?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
normalization-techniques
0
votes
1
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What is Data Normalisation. What is the need for it?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
data-normalisation
deep-learning
0
votes
1
answer
What is forward and Back Propagation in the context of deep learning.
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
back-propagation
forward-propagation
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