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Deep Learning MCQ Quiz (Multiple Choice Questions And Answers)
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Assume that your machine has a large enough RAM dedicated to training neural networks. Compared to using stochastic gradient descent for your optimization, choosing a batch size that fits your RAM will lead to::
YasminRadwan26
2022-06-14
1 answers
281 Views
0 Likes
Which of the following methods DOES NOT prevent a model from overfitting to the training set?
YasminRadwan26
2022-06-14
1 answers
356 Views
0 Likes
In which neural net architecture, does weight sharing occur?
YasminRadwan26
2022-06-14
1 answers
343 Views
0 Likes
What consist of Boltzmann machine?
YasminRadwan26
2022-06-14
1 answers
343 Views
0 Likes
Which, if any, of the following propositions is true about fully-connected neural networks (FCNN)?
YasminRadwan26
2022-06-14
1 answers
485 Views
0 Likes
Sentiment analysis using Deep Learning is a many-to one prediction task
YasminRadwan26
2022-06-14
1 answers
552 Views
0 Likes
In CNN, having max pooling always decrease the parameters?
YasminRadwan26
2022-06-14
1 answers
332 Views
0 Likes
Which of the following would have a constant input in each epoch of training a Deep Learning model?
YasminRadwan26
2022-06-14
1 answers
414 Views
0 Likes
In a simple MLP model with 8 neurons in the input layer, 5 neurons in the hidden layer and 1 neuron in the output layer. What is the size of the weight matrices between hidden output layer and input hidden layer?
YasminRadwan26
2022-06-14
1 answers
324 Views
1 Likes
Assume a simple MLP model with 3 neurons and inputs= 1,2,3. The weights to the input neurons are 4,5 and 6 respectively. Assume the activation function is a linear constant value of 3. What will be the output ?
YasminRadwan26
2022-06-14
1 answers
391 Views
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In which of the following applications can we use deep learning to solve the problem?
YasminRadwan26
2022-06-14
1 answers
360 Views
0 Likes
The number of nodes in the input layer is 10 and the hidden layer is 5. The maximum number of connections from the input layer to the hidden layer are
YasminRadwan26
2022-06-14
1 answers
438 Views
0 Likes
Which of the following functions can be used as an activation function in the output layer if we wish to predict the probabilities of n classes (p1, p2..pk) such that sum of p over all n equals to 1?
YasminRadwan26
2022-06-14
1 answers
328 Views
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