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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?
asked
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?
asked
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.
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transferlearning
0
votes
Q: What are some challenges or ethical considerations associated with large language models?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
largelanguagemodels
0
votes
Q: Describe the process of generating text using a transformer-based language model.
asked
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?
asked
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?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transformerstrained
0
votes
Q: What are the limitations of transformers, and what are some potential solutions?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transformers
0
votes
Q: What are the advantages of transformers over traditional sequence-to-sequence models?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
transformers
traditionalsequencemodels
0
votes
Q: 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
Q: Explain the key components of a transformer model.
asked
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?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
naturallanguageprocessingtasks
0
votes
Q: What is a depthwise Separable layer and what are its advantages?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
depthwiseseparablelayer
0
votes
Q: What is the advantage of deep learning over traditional machine learning?
asked
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?
asked
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?
asked
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?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
momentumhyperparameter
0
votes
Q: - ?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
n
0
votes
Q: How does L1/L2 regularization affect a neural network?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
l1l2regularization
0
votes
Q: Is it a good idea to use CNN to classify 1D signal?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
cnn
0
votes
Q: What are the main gates in LSTM and what are their tasks?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
lstm
0
votes
Q: 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
Q: 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
Q: 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
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?
asked
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?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
artificial
neuralnetworks
0
votes
Q: Describe the architecture of a typical Convolutional Neural Network (CNN)?
asked
Jul 21, 2023
in
Deep Learning
by
rahuljain1
convolutionalneuralnetwork
0
votes
Q: Can you explain the parameter sharing concept in deep learning?
asked
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?
asked
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?
asked
Jul 19, 2023
in
Deep Learning
by
SakshiSharma
explodinggradients
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