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Top 100+ questions and answers in Deep Learning
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Deep Learning
0
votes
Which of the following gives non linearity to a neural network?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
neural-network
0
votes
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?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
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
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
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?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-leanring
0
votes
Assume a three-neuron MLP model with inputs 1, 2, and 3. The input neurons' weights are 4,5 and 6, respectively.
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
When using Convolutional Neural Network, does max pooling always result in a decrease in parameters?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
convolutional-neural-network
0
votes
Which of the following options represents the correct sequence of steps involved in employing a gradient descent algorithm?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
+1
vote
Which strategy does not prevent a model from over-fitting to the training data?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
Weight sharing occurs in which neural network architecture?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
What does a Boltzmann machine encompass?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
Explain the different types of activation functions.
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
activation-functions
0
votes
Differentiate between Deep Learning and Machine Learning.
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
machine-learning
+1
vote
What do you know about Dropout?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
dropout
deep-learning
0
votes
Mention the applications of autoencoders.
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
encoders
applications
0
votes
What are autoencoders? Explain the different layers of autoencoders.
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
autoencoders
0
votes
What exactly do you mean by exploding and vanishing gradients?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
vanishing-gradients
0
votes
How does Recurrent Neural Network backpropagation vary from Artificial Neural Network backpropagation?
answered
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
0
votes
Differentiate between bias and variance in the context of deep learning models. How can you achieve balance between the two?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
deep-leanring
0
votes
According to you, which one is more powerful - a two layer neural network without any activation function or a two layer decision tree?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
Can a deep learning model be solely built on linear regression?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
While building a neural network architecture, how will you decide how many neurons and the hidden layers should the neural network have?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
neural-network
0
votes
What do you mean by an epochs in the context of deep learning?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
epochs
deep-learning
0
votes
What is an activation function? What is the use of an activation function?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
activation-function
0
votes
Which deep learning algorithm is the best for face detection?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
Explain Stochastic Gradient Descent. How is it different from Batch Gradient Descent?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
stochastic-gradient-descent
0
votes
Explain Batch Gradient Descent.
answered
Dec 12, 2022
in
Deep Learning
by
Robin
batch-gradient-descent
0
votes
In a Convolutional Neural Network (CNN), how can you fix the constant validation accuracy?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
convolutional-neural-network
0
votes
Explain the difference between a shallow network and a deep network.
answered
Dec 12, 2022
in
Deep Learning
by
Robin
shallow-network
deep-network
0
votes
What is a tensor in deep learning?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
tensor
deep-learning
0
votes
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?
answered
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
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