Login
Remember
Register
User rahuljain1
Wall
Recent activity
All questions
All answers
Ask a Question
Answers by rahuljain1
0
votes
What are the limitations of transformers, and what are some potential solutions?
answered
Jul 21, 2023
in
Deep Learning
transformers
0
votes
What are the advantages of transformers over traditional sequence-to-sequence models?
answered
Jul 21, 2023
in
Deep Learning
transformers
traditionalsequencemodels
0
votes
What is self-attention, and how does it work in transformers?
answered
Jul 21, 2023
in
Deep Learning
self-attention
deep-learning
0
votes
Explain the key components of a transformer model.
answered
Jul 21, 2023
in
Deep Learning
transformermodel
0
votes
What is transformer architecture, and why is it widely used in natural language processing tasks?
answered
Jul 21, 2023
in
Deep Learning
naturallanguageprocessingtasks
0
votes
What is a depthwise Separable layer and what are its advantages?
answered
Jul 21, 2023
in
Deep Learning
depthwiseseparablelayer
0
votes
What is the advantage of deep learning over traditional machine learning?
answered
Jul 21, 2023
in
Deep Learning
deeplearning
0
votes
What is the effect of dropout on the training and prediction speed of your deep learning model?
answered
Jul 21, 2023
in
Deep Learning
predictionspeed
0
votes
What are the hyperparameters that can be optimized for the batch normalization layer?
answered
Jul 21, 2023
in
Deep Learning
hyperparameters
0
votes
What might happen if you set the momentum hyperparameter too close to 1 (e.g., 0.9999) when using an SGD optimizer?
answered
Jul 21, 2023
in
Deep Learning
momentumhyperparameter
0
votes
- ?
answered
Jul 21, 2023
in
Deep Learning
n
0
votes
How does L1/L2 regularization affect a neural network?
answered
Jul 21, 2023
in
Deep Learning
l1l2regularization
0
votes
Is it a good idea to use CNN to classify 1D signal?
answered
Jul 21, 2023
in
Deep Learning
cnn
0
votes
What are the main gates in LSTM and what are their tasks?
answered
Jul 21, 2023
in
Deep Learning
lstm
0
votes
Discuss the vanishing gradient in RNN and How they can be solved.
answered
Jul 21, 2023
in
Deep Learning
rnn
vanishinggradient
0
votes
Discuss in what context it is recommended to use transfer learning and when it is not.
answered
Jul 21, 2023
in
Deep Learning
transferlearning
0
votes
Why Sigmoid or Tanh is not preferred to be used as the activation function in the hidden layer of the neural network?
answered
Jul 21, 2023
in
Deep Learning
neuralnetwork
0
votes
When it comes to training an artificial neural network, what could be the reason why the loss doesn't decrease in a few epochs?
answered
Jul 21, 2023
in
Deep Learning
deeplearning
0
votes
What is the Vanishing Gradient Problem in Artificial Neural Networks and How to fix it?
answered
Jul 21, 2023
in
Deep Learning
artificial
neuralnetworks
0
votes
Describe the architecture of a typical Convolutional Neural Network (CNN)?
answered
Jul 21, 2023
in
Deep Learning
convolutionalneuralnetwork
Page:
« prev
1
...
12
13
14
15
16
17
18
19
20
21
22
...
55
next »
...
