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Is it a good idea to use CNN to classify 1D signal?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
cnn
0
votes
1
answer
What are the main gates in LSTM and what are their tasks?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
lstm
0
votes
1
answer
Discuss the vanishing gradient in RNN and How they can be solved.
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
rnn
vanishinggradient
0
votes
1
answer
Discuss in what context it is recommended to use transfer learning and when it is not.
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transferlearning
0
votes
1
answer
Why Sigmoid or Tanh is not preferred to be used as the activation function in the hidden layer of the neural network?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
neuralnetwork
0
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1
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When it comes to training an artificial neural network, what could be the reason why the loss doesn't decrease in a few epochs?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
deeplearning
0
votes
1
answer
What is the Vanishing Gradient Problem in Artificial Neural Networks and How to fix it?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
artificial
neuralnetworks
0
votes
1
answer
Describe the architecture of a typical Convolutional Neural Network (CNN)?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
convolutionalneuralnetwork
0
votes
1
answer
Can you explain the parameter sharing concept in deep learning?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
deeplearning
0
votes
1
answer
Can you name and explain a few hyperparameters used for training a neural network?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
neuralnetwork
0
votes
1
answer
How to know whether your model is suffering from the problem of Exploding Gradients?
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
explodinggradients
+1
vote
1
answer
You are using a deep neural network for a prediction task. After training your model, you notice that it is strongly overfitting the training set and that the performance on the test isn’t good. What can you do to reduce overfitting?
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
deepneuralnetwork
0
votes
1
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What is an activation function and discuss the use of an activation function? Explain three different types of activation functions?
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
activationfunction
0
votes
1
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What are autoencoders? Explain the different layers of autoencoders and mention three practical usages of them?
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
autoencoders
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 are the equations for the GRU and the LSTM: From these, we can see that the Update Gate and Forget Gate in the LSTM play a role similar to _______ and ______ in the GRU. What should go in the the blanks?
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
deeplearning
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
Suppose you are training a LSTM. You have a 10000 word vocabulary, and are using an LSTM with 100-dimensional activations a. What is the dimension of Γu at each time step?
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
deeplearning
0
votes
1
answer
You are training an RNN, and find that your weights and activations are all taking on the value of NaN (“Not a Number”). Which of these is the most likely cause of this problem?
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
rnn
learningdeep
0
votes
1
answer
You have finished training a language model RNN and are using it to sample random sentences, as follows: What are you doing at each time step t?
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
deeplearning
0
votes
1
answer
At the t-th time step, what is the RNN doing? Choose the best answer.
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
rnn
0
votes
1
answer
To which of these tasks would you apply a many-to-one RNN architecture? (Check all that apply).
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
rnnarchitecture
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
How does Nagios work?
asked
Jul 18, 2023
in
Nagios
by
Robin
nagioswork
0
votes
1
answer
How is distributed monitoring being done in Nagios?
asked
Jul 18, 2023
by
Robin
nagios
distributedmonitoring
0
votes
1
answer
Why is it being said that Nagios is object oriented?
asked
Jul 18, 2023
in
Nagios
by
Robin
nagios
i
0
votes
1
answer
What are SOFT and HARD states?
asked
Jul 18, 2023
in
Nagios
by
Robin
hardstates
0
votes
1
answer
What are state types of Nagios?
asked
Jul 18, 2023
in
Nagios
by
Robin
statetypes
0
votes
1
answer
What are port numbers used by Nagios for monitoring purpose?
asked
Jul 18, 2023
in
Nagios
by
Robin
nagios-portnumbers
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