Deep learning

Q1. Which of the following neural network training challenges can be solved using batch normalization?

Both B and C
Restrict activations to become too high or low
Overfitting
Training is too slow

Q2. 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

less than 50
50
it's an arbitrary value
more than 50

Q3. Which of the following are universal approximators?

Boosted Decision Trees
Kernel SVM
Neural Networks
All of the above

Q4. Which of following activation functions can’t be used as output layer to classify an image ?

If(x>5,1,0)
Sigmoid
ReLU
Tanh

Q5. Which of the following would have a constant input in each epoch of training a Deep Learning model?

Biases of all hidden layer neurons
Weight between input and hidden layer
Weight between hidden and output layer
Activation function of output layer

Q6. Which of the following statements is true when you use 1×1 convolutions in a CNN?

It suffers less overfitting due to small kernel size
It can help in dimensionality reduction
All of the above
It can be used for feature pooling

Q7. 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?

[1 X 5] , [5 X 8]
[8 X 5] , [ 1 X 5]
[8 X 5] , [5 X 1]
[5 x 1] , [8 X 5]

Q8. In which of the following applications can we use deep learning to solve the problem?

Protein structure prediction
Prediction of chemical reactions
Detection of exotic particles
All of the above

Q9. The input image has been converted into a matrix of size 28 X 28 and a kernel/filter of size 7 X 7 with a stride of 1. What will be the size of the convoluted matrix?

7 X 7
22 X 22
28 X 28
21 X 21

Q10. 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?

ReLu
Sigmoid
Softmax
Tanh

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