Login
Remember
Register
Ask a Question
Recent questions tagged Deep-learning
0
votes
1
answer
What is self-attention, and how does it work in transformers?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
self-attention
deep-learning
0
votes
1
answer
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, 2023
in
Deep Learning
by
SakshiSharma
deep-learning
0
votes
1
answer
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, 2023
in
Deep Learning
by
SakshiSharma
deep-learning
0
votes
1
answer
Consider this RNN: This specific type of architecture is appropriate when:
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
rnn
deep-learning
0
votes
1
answer
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, 2023
in
Deep Learning
by
SakshiSharma
deep-learning
0
votes
1
answer
What does a Boltzmann machine encompass?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
1
answer
Weight sharing occurs in which neural network architecture?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
+1
vote
1
answer
Which strategy does not prevent a model from over-fitting to the training data?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
1
answer
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
deep-learning
0
votes
1
answer
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
deep-learning
0
votes
1
answer
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
deep-learning
0
votes
1
answer
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
Differentiate between Deep Learning and Machine Learning.
asked
Dec 13, 2022
in
Deep Learning
by
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
votes
1
answer
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
answer
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
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
answer
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
What is a tensor in deep learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
tensor
deep-learning
Page:
1
2
3
4
next »
...
