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Top 100+ questions in Deep Learning
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Questions
Deep Learning
0
votes
Q: What does a Boltzmann machine encompass?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
Q: Weight sharing occurs in which neural network architecture?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
+1
vote
Q: 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
Q: 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
Q: 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
Q: 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
Q: 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
Q: 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
Q: 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
Q: Which of the following gives non linearity to a neural network?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
neural-network
0
votes
Q: Explain the different types of activation functions.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
activation-functions
0
votes
Q: Differentiate between Deep Learning and Machine Learning.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
machine-learning
+1
vote
Q: What do you know about Dropout?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
dropout
deep-learning
0
votes
Q: Mention the applications of autoencoders.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
encoders
applications
0
votes
Q: What are autoencoders? Explain the different layers of autoencoders.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
autoencoders
0
votes
Q: What exactly do you mean by exploding and vanishing gradients?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
vanishing-gradients
0
votes
Q: How does Recurrent Neural Network backpropagation vary from Artificial Neural Network backpropagation?
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
Q: Differentiate between bias and variance in the context of deep learning models. How can you achieve balance between the two?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-leanring
0
votes
Q: According to you, which one is more powerful - a two layer neural network without any activation function or a two layer decision tree?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
Q: Can a deep learning model be solely built on linear regression?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
Q: While building a neural network architecture, how will you decide how many neurons and the hidden layers should the neural network have?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
neural-network
0
votes
Q: What do you mean by an epochs in the context of deep learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
epochs
deep-learning
0
votes
Q: What is an activation function? What is the use of an activation function?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
activation-function
0
votes
Q: Which deep learning algorithm is the best for face detection?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
Q: Explain Stochastic Gradient Descent. How is it different from Batch Gradient Descent?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
stochastic-gradient-descent
0
votes
Q: Explain Batch Gradient Descent.
asked
Dec 12, 2022
in
Deep Learning
by
Robin
batch-gradient-descent
0
votes
Q: In a Convolutional Neural Network (CNN), how can you fix the constant validation accuracy?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
convolutional-neural-network
0
votes
Q: Explain the difference between a shallow network and a deep network.
asked
Dec 12, 2022
in
Deep Learning
by
Robin
shallow-network
deep-network
0
votes
Q: What is a tensor in deep learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
tensor
deep-learning
0
votes
Q: Is it possible to train a neural network model by setting all biases to 0? Also, is it possible to train a neural network model by setting all of the weights to 0?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
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