Login
Remember
Register
Ask a Question
Recent questions in Deep Learning
+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
answer
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
answer
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
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
When using Convolutional Neural Network, does max pooling always result in a decrease in parameters?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
convolutional-neural-network
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
If we want to forecast the probabilities of n classes (p1, p2..pk), which of the following functions can be utilised as an activation function in the output layer so that the sum of p over all n equals 1?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-leanring
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
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
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
Mention the applications of autoencoders.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
encoders
applications
0
votes
1
answer
What are autoencoders? Explain the different layers of autoencoders.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
autoencoders
0
votes
1
answer
What exactly do you mean by exploding and vanishing gradients?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
vanishing-gradients
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
Page:
« prev
1
2
3
4
5
6
7
8
next »
Recent questions in Deep Learning
...
