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Recent questions tagged deep-learning
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deep-learning
0
votes
Q: What is self-attention, and how does it work in transformers?
asked
Jul 21
in
Deep Learning
by
rahuljain1
(
6.5k
points)
self-attention
deep-learning
0
votes
Q: You have a pet dog whose mood is heavily dependent on the current and past few days’ weather. You’ve collected data for the past 365 days on the weather, which you represent as a sequence as x<1>,…,x<365>. You’ve also collected data on your dog’s mood, which you represent as y<1>,…,y<365>. You’d like to build a model to map from x→y. Should you use a Unidirectional RNN or Bidirectional RNN for this problem?
asked
Jul 19
in
Deep Learning
by
SakshiSharma
(
32.2k
points)
deep-learning
0
votes
Q: Here’re the update equations for the GRU. Alice proposes to simplify the GRU by always removing the Γu. I.e., setting Γu = 1. Betty proposes to simplify the GRU by removing the Γr. I. e.,
asked
Jul 19
in
Deep Learning
by
SakshiSharma
(
32.2k
points)
deep-learning
0
votes
Q: Consider this RNN: This specific type of architecture is appropriate when:
asked
Jul 19
in
Deep Learning
by
SakshiSharma
(
32.2k
points)
rnn
deep-learning
0
votes
Q: Suppose your training examples are sentences (sequences of words). Which of the following refers to the jth word in the ith training example?
asked
Jul 19
in
Deep Learning
by
SakshiSharma
(
32.2k
points)
deep-learning
0
votes
Q: What does a Boltzmann machine encompass?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
(
20.8k
points)
deep-learning
0
votes
Q: Weight sharing occurs in which neural network architecture?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
(
20.8k
points)
deep-learning
+1
vote
Q: Which strategy does not prevent a model from over-fitting to the training data?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
(
20.8k
points)
deep-learning
0
votes
Q: Which of the following options represents the correct sequence of steps involved in employing a gradient descent algorithm?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
(
20.8k
points)
deep-learning
0
votes
Q: Assume a three-neuron MLP model with inputs 1, 2, and 3. The input neurons' weights are 4,5 and 6, respectively.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
(
20.8k
points)
deep-learning
0
votes
Q: The input layer has ten nodes, whereas the hidden layer has five. From the input layer to the hidden layer, the maximum number of connections is
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
(
20.8k
points)
deep-learning
0
votes
Q: 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
(
20.8k
points)
deep-learning
0
votes
Q: Differentiate between Deep Learning and Machine Learning.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
(
20.8k
points)
deep-learning
machine-learning
+1
vote
Q: What do you know about Dropout?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
(
20.8k
points)
dropout
deep-learning
0
votes
Q: How does Recurrent Neural Network backpropagation vary from Artificial Neural Network backpropagation?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
(
20.8k
points)
deep-learning
0
votes
Q: 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
(
14.6k
points)
deep-learning
0
votes
Q: Can a deep learning model be solely built on linear regression?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
(
14.6k
points)
deep-learning
0
votes
Q: What do you mean by an epochs in the context of deep learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
(
14.6k
points)
epochs
deep-learning
0
votes
Q: Which deep learning algorithm is the best for face detection?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
(
14.6k
points)
deep-learning
0
votes
Q: What is a tensor in deep learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
(
14.6k
points)
tensor
deep-learning
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