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Deep Learning Interview Questions and Answers
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Questions
Deep Learning
0
votes
Q: What are the types of design patterns in Java?
answered
Jul 23, 2023
in
Deep Learning
by
Robindeniel
typesdesignpatterns
0
votes
Q: How can transformers be used for tasks other than natural language processing, such as computer vision?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transformers
0
votes
Q: Explain the concept of transfer learning and how it can be applied to transformers.
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transferlearning
0
votes
Q: What are some challenges or ethical considerations associated with large language models?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
largelanguagemodels
0
votes
Q: Describe the process of generating text using a transformer-based language model.
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
text-generation
0
votes
Q: What is BERT (Bidirectional Encoder Representations from Transformers), and how does it improve language understanding tasks?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
bidirectionalencoderrepresentationsfromtransformers
0
votes
Q: How are transformers trained, and what is the role of pre-training and fine-tuning?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transformerstrained
0
votes
Q: What are the limitations of transformers, and what are some potential solutions?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transformers
0
votes
Q: What are the advantages of transformers over traditional sequence-to-sequence models?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transformers
traditionalsequencemodels
0
votes
Q: What is self-attention, and how does it work in transformers?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
self-attention
deep-learning
0
votes
Q: Explain the key components of a transformer model.
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transformermodel
0
votes
Q: What is transformer architecture, and why is it widely used in natural language processing tasks?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
naturallanguageprocessingtasks
0
votes
Q: What is a depthwise Separable layer and what are its advantages?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
depthwiseseparablelayer
0
votes
Q: What is the advantage of deep learning over traditional machine learning?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
deeplearning
0
votes
Q: What is the effect of dropout on the training and prediction speed of your deep learning model?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
predictionspeed
0
votes
Q: What are the hyperparameters that can be optimized for the batch normalization layer?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
hyperparameters
0
votes
Q: 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
by
rahuljain1
momentumhyperparameter
0
votes
Q: - ?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
n
0
votes
Q: How does L1/L2 regularization affect a neural network?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
l1l2regularization
0
votes
Q: Is it a good idea to use CNN to classify 1D signal?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
cnn
0
votes
Q: What are the main gates in LSTM and what are their tasks?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
lstm
0
votes
Q: Discuss the vanishing gradient in RNN and How they can be solved.
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
rnn
vanishinggradient
0
votes
Q: Discuss in what context it is recommended to use transfer learning and when it is not.
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transferlearning
0
votes
Q: 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
by
rahuljain1
neuralnetwork
0
votes
Q: 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
by
rahuljain1
deeplearning
0
votes
Q: What is the Vanishing Gradient Problem in Artificial Neural Networks and How to fix it?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
artificial
neuralnetworks
0
votes
Q: Describe the architecture of a typical Convolutional Neural Network (CNN)?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
convolutionalneuralnetwork
0
votes
Q: Can you explain the parameter sharing concept in deep learning?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
deeplearning
0
votes
Q: Can you name and explain a few hyperparameters used for training a neural network?
answered
Jul 21, 2023
in
Deep Learning
by
rahuljain1
neuralnetwork
0
votes
Q: How to know whether your model is suffering from the problem of Exploding Gradients?
answered
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
explodinggradients
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