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66. Which of the following gives non-linearity to a neural network
Gradient descent
Bias
Relu Activation Function
None
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67. Suppose you are to design a system where you want to perform word prediction also known as language modeling. You are to take output from previous state and also the input at each step to predict the next word. The inputs at each step are the words for which the next words are to be predicted. Which of the following neural network would you use?
Multi-Layer Perceptron
Recurrent Neural Network
Convolutional Neural Network
Perceptron.
68. For a fully-connected deep network with one hidden layer, increasing the number of hidden units should have what effect on bias and variance?
Decrease bias, increase variance
Increase bias, increase variance
Increase bias, decrease variance
No change
69. You are given the task of predicting the price of a house given the various features for a house such as number of rooms, area(sq ft), etc. How many neurons should you have at the output?
3
2
1
4
70. Which one of the following activation functions can be used as an activation function at the output layer for the task given in the above question?
Sigmoid
Relu
Softmax
Tanh
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