How would you import a decision tree classifier in sklearn?
K-fold cross-validation is
The neural network consists of many neurons, each neuron takes an input, processes it and gives an output. Here’s a diagrammatic representation of a real neuron.
Which of the following statement(s) correctly represents a real neuron?
What is the sequence of the following tasks in a perceptron?
- Initialize weights of perceptron randomly
- Go to the next batch of the dataset
- If the prediction does not match the output, change the weights
- For a sample input, compute an output
A and B can together finish a work 30 days. They worked together for 20 days and then B left. After another 20 days, A finished the remaining work. In how many days A alone can finish the work?
What are the steps for using a gradient descent algorithm?
- Calculate the error between the actual value and the predicted value
- Reiterate until you find the best weights of the network
- Pass an input through the network and get values from the output layer
- Initialize random weight and bias
- Go to each neuron that contributes to the error and change its respective values to reduce the error
Which of the following is invalid?
Which of the following cannot be a variable?
What would be the best value for random_state (Seed value ?
Which of the following is not a keyword?
What is the output of this expression, 3*1**3?
Two, trains, one from Howrah to Patna and the other from Patna to Howrah, start simultaneously. After they meet, the trains reach their destinations after 9 hours and 16 hours respectively. The ratio of their speeds is:
In which neural net architecture, does weight sharing occur?
Which of the following offsets, do we use in linear regressions least square line fit? Suppose horizontal axis is independent variable and vertical axis is dependent variable.
Suppose you have inputs as x, y, and z with values -2, 5, and -4 respectively. You have a neuron ‘q’ and neuron ‘f’ with functions: q = x + y , f = q * z
What is the gradient of F with respect to x, y, and z?
(HINT: To calculate the gradient, you must find (df/dx), (df/dy) and (df/dz))
Which of the following is an invalid statement?
In a 300 m race A beats B by 22.5 m or 6 seconds. B's time over the course is:
The cost price of 20 articles is the same as the selling price of x articles. If the profit is 25%, then the value of x is:
Which of the following methods do we use to find the best fit line for data in Linear Regression?
A can run 22.5 m while B runs 25 m. In a kilometre race B beats A by:
Type of abc is ? if abc=100,000,10
In a 200 metres race A beats B by 35 m or 7 seconds. A's time over the course is:
How much did Rohit get as profit at the year-end in the business done by Nitin, Rohit and Kunal?
I. Kunal invested Rs. 8000 for nine months, his profit was times that of Rohit's, and his investment was four times that of Nitin.
II. Nitin and Rohit invested for one year in the proportion 1: 2 respectively.
III. The three together got Rs. 1000 as profit at the year-end.
Different learning methods does not include
A is 30% more efficient than B. How much time will they, working together, take to complete a job which A alone could have done in 23 days?
Two stations A and B are 110 km apart on a straight line. One train starts from A at 7 a.m. and travels towards B at 20 kmph. Another train starts from B at 8 a.m. and travels towards A at a speed of 25 kmph. At what time will they meet?
Batch Normalization is helpful because
Three times the first of three consecutive odd integers is 3 more than twice the third. The third integer is:
Which of the following is an invalid variable?
Consider a function which is defined below:
def fun(x): x[0] = 5 return x
Now you define a list which has three numbers in it. g = [10,11,12] Which of the following will be the output of the given print statement: print fun(g), g
If you increase the number of hidden layers in a Multi Layer Perceptron, the classification error of test data always decreases.
Which one of the following has the same precedence level?
Adding more basis functions in a linear model(pick the most probably option)
Which is the correct operator for power(xy)?
“Convolutional Neural Networks can perform various types of transformation (rotations or scaling) in an input”.
Is the statement correct True or False?
Which of the following sentence is FALSE regarding regression?
Import time str = '21/01/2017' datetime_value = time.strptime(str,date_format)
To convert the above string, what should be written in place of date_format?
What is the output of type(45/3)
You are building a neural network where it gets input from the previous layer as well as from itself.
Which of the following architecture has feedback connections?
Now let’s revise the previous slides. We have learned that:
- A neural network is a (crude) mathematical representation of a brain, which consists of smaller components called neurons.
- Each neuron has an input, a processing function, and an output.
- These neurons are stacked together to form a network, which can be used to approximate any function.
- To get the best possible neural network, we can use techniques like gradient descent to update our neural network model.
Given above is a description of a neural network. When does a neural network model become a deep learning model?
